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You searched for subject:(ensemble methods). Showing records 1 – 30 of 62 total matches.

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University of Notre Dame

1. Haoyun Feng. Ensemble methods for flux calculation</h1>.

Degree: PhD, Computer Science and Engineering, 2015, University of Notre Dame

  Molecular Dynamics simulation is a numerical tool for simulating movements of molecules. It generates a sequence of coordinates representing Brownian motion of molecules, which… (more)

Subjects/Keywords: Markov state models; Ensemble methods; Weighted ensemble; Molecular dynamics simulation

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APA (6th Edition):

Feng, H. (2015). Ensemble methods for flux calculation</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/3j333199s3g

Chicago Manual of Style (16th Edition):

Feng, Haoyun. “Ensemble methods for flux calculation</h1>.” 2015. Doctoral Dissertation, University of Notre Dame. Accessed May 21, 2019. https://curate.nd.edu/show/3j333199s3g.

MLA Handbook (7th Edition):

Feng, Haoyun. “Ensemble methods for flux calculation</h1>.” 2015. Web. 21 May 2019.

Vancouver:

Feng H. Ensemble methods for flux calculation</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2015. [cited 2019 May 21]. Available from: https://curate.nd.edu/show/3j333199s3g.

Council of Science Editors:

Feng H. Ensemble methods for flux calculation</h1>. [Doctoral Dissertation]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/3j333199s3g


Louisiana State University

2. An, Xing. Ensemble Methods for Malware Diagnosis Based on One-class SVMs.

Degree: MS, Computer Sciences, 2012, Louisiana State University

 Malware diagnosis is one of today’s most popular topics of machine learning. Instead of simply applying all the classical classification algorithms to the problem and… (more)

Subjects/Keywords: rescaling; ensemble methods; machine learning; malware diagnosis

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APA (6th Edition):

An, X. (2012). Ensemble Methods for Malware Diagnosis Based on One-class SVMs. (Masters Thesis). Louisiana State University. Retrieved from etd-04102013-094841 ; https://digitalcommons.lsu.edu/gradschool_theses/2294

Chicago Manual of Style (16th Edition):

An, Xing. “Ensemble Methods for Malware Diagnosis Based on One-class SVMs.” 2012. Masters Thesis, Louisiana State University. Accessed May 21, 2019. etd-04102013-094841 ; https://digitalcommons.lsu.edu/gradschool_theses/2294.

MLA Handbook (7th Edition):

An, Xing. “Ensemble Methods for Malware Diagnosis Based on One-class SVMs.” 2012. Web. 21 May 2019.

Vancouver:

An X. Ensemble Methods for Malware Diagnosis Based on One-class SVMs. [Internet] [Masters thesis]. Louisiana State University; 2012. [cited 2019 May 21]. Available from: etd-04102013-094841 ; https://digitalcommons.lsu.edu/gradschool_theses/2294.

Council of Science Editors:

An X. Ensemble Methods for Malware Diagnosis Based on One-class SVMs. [Masters Thesis]. Louisiana State University; 2012. Available from: etd-04102013-094841 ; https://digitalcommons.lsu.edu/gradschool_theses/2294


Virginia Tech

3. Nino Ruiz, Elias David. Efficient formulation and implementation of ensemble based methods in data assimilation.

Degree: PhD, Computer Science, 2016, Virginia Tech

Ensemble-based methods have gained widespread popularity in the field of data assimilation. An ensemble of model realizations encapsulates information about the error correlations driven by… (more)

Subjects/Keywords: Ensemble-based methods; ensemble Kalman filter; ensemble square root filter; hybrid data assimilation; background error covariance matrix estimation; parallel data assimilation

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APA (6th Edition):

Nino Ruiz, E. D. (2016). Efficient formulation and implementation of ensemble based methods in data assimilation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64438

Chicago Manual of Style (16th Edition):

Nino Ruiz, Elias David. “Efficient formulation and implementation of ensemble based methods in data assimilation.” 2016. Doctoral Dissertation, Virginia Tech. Accessed May 21, 2019. http://hdl.handle.net/10919/64438.

MLA Handbook (7th Edition):

Nino Ruiz, Elias David. “Efficient formulation and implementation of ensemble based methods in data assimilation.” 2016. Web. 21 May 2019.

Vancouver:

Nino Ruiz ED. Efficient formulation and implementation of ensemble based methods in data assimilation. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 May 21]. Available from: http://hdl.handle.net/10919/64438.

Council of Science Editors:

Nino Ruiz ED. Efficient formulation and implementation of ensemble based methods in data assimilation. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/64438


University of New South Wales

4. Hamilton, Nicholas. Simulating ZrTiCuAl Based Metallic Glasses Under Conditions Governed by Quantum Molecular Dynamics After Implementing an NPT/NVT Blended Scheme.

Degree: Materials Science & Engineering, 2017, University of New South Wales

 This thesis presents the details of a blended quantum molecular dynamics scheme, utilizing both the canonical (NVT) and isobaric-isothermal (NPT) ensembles, where the number of… (more)

Subjects/Keywords: Simulation methods; Ab initio molecular dynamics; Zirconium based metallic glasses; Canonical ensemble; Isobaric-isothermal ensemble

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APA (6th Edition):

Hamilton, N. (2017). Simulating ZrTiCuAl Based Metallic Glasses Under Conditions Governed by Quantum Molecular Dynamics After Implementing an NPT/NVT Blended Scheme. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46353/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Hamilton, Nicholas. “Simulating ZrTiCuAl Based Metallic Glasses Under Conditions Governed by Quantum Molecular Dynamics After Implementing an NPT/NVT Blended Scheme.” 2017. Doctoral Dissertation, University of New South Wales. Accessed May 21, 2019. http://handle.unsw.edu.au/1959.4/58598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46353/SOURCE02?view=true.

MLA Handbook (7th Edition):

Hamilton, Nicholas. “Simulating ZrTiCuAl Based Metallic Glasses Under Conditions Governed by Quantum Molecular Dynamics After Implementing an NPT/NVT Blended Scheme.” 2017. Web. 21 May 2019.

Vancouver:

Hamilton N. Simulating ZrTiCuAl Based Metallic Glasses Under Conditions Governed by Quantum Molecular Dynamics After Implementing an NPT/NVT Blended Scheme. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2019 May 21]. Available from: http://handle.unsw.edu.au/1959.4/58598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46353/SOURCE02?view=true.

Council of Science Editors:

Hamilton N. Simulating ZrTiCuAl Based Metallic Glasses Under Conditions Governed by Quantum Molecular Dynamics After Implementing an NPT/NVT Blended Scheme. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46353/SOURCE02?view=true


University of Georgia

5. Mahamuda, Vasim. Analyzing the performance of machine learning algorithms on metagenomic data.

Degree: MS, Computer Science, 2010, University of Georgia

 Metagenomics is a branch of bioinformatics that deals with the study and analysis of micro-organisms in natural environments. Some micro-organisms including many species of bacteria,… (more)

Subjects/Keywords: Binning; decision trees; machine learning; metagenomics; ensemble methods; supervised learning.

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APA (6th Edition):

Mahamuda, V. (2010). Analyzing the performance of machine learning algorithms on metagenomic data. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/mahamuda_vasim_201008_ms

Chicago Manual of Style (16th Edition):

Mahamuda, Vasim. “Analyzing the performance of machine learning algorithms on metagenomic data.” 2010. Masters Thesis, University of Georgia. Accessed May 21, 2019. http://purl.galileo.usg.edu/uga_etd/mahamuda_vasim_201008_ms.

MLA Handbook (7th Edition):

Mahamuda, Vasim. “Analyzing the performance of machine learning algorithms on metagenomic data.” 2010. Web. 21 May 2019.

Vancouver:

Mahamuda V. Analyzing the performance of machine learning algorithms on metagenomic data. [Internet] [Masters thesis]. University of Georgia; 2010. [cited 2019 May 21]. Available from: http://purl.galileo.usg.edu/uga_etd/mahamuda_vasim_201008_ms.

Council of Science Editors:

Mahamuda V. Analyzing the performance of machine learning algorithms on metagenomic data. [Masters Thesis]. University of Georgia; 2010. Available from: http://purl.galileo.usg.edu/uga_etd/mahamuda_vasim_201008_ms


University of Southern California

6. Audhkhasi, Kartik. A computational framework for diversity in ensembles of humans and machine systems.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 My Ph.D. thesis presents a computational framework for diversity in ensembles or collections of humans and machine systems used for signal and information processing. Machine… (more)

Subjects/Keywords: signal processing; information processing; machine learning; ensemble methods; diversity

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APA (6th Edition):

Audhkhasi, K. (2014). A computational framework for diversity in ensembles of humans and machine systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144

Chicago Manual of Style (16th Edition):

Audhkhasi, Kartik. “A computational framework for diversity in ensembles of humans and machine systems.” 2014. Doctoral Dissertation, University of Southern California. Accessed May 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144.

MLA Handbook (7th Edition):

Audhkhasi, Kartik. “A computational framework for diversity in ensembles of humans and machine systems.” 2014. Web. 21 May 2019.

Vancouver:

Audhkhasi K. A computational framework for diversity in ensembles of humans and machine systems. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 May 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144.

Council of Science Editors:

Audhkhasi K. A computational framework for diversity in ensembles of humans and machine systems. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144


ETH Zürich

7. Leonardi, Filippo. Numerical methods for ensemble based solutions to incompressible flow equations.

Degree: 2018, ETH Zürich

 Incompressible flows are characterised by turbulent, chaotic behaviour. The current mathematical understanding of the driving equations, the Euler and Navier- Stokes equations, is plagued by… (more)

Subjects/Keywords: Numerical methods; Incompressible flows; Ensemble based solutions; Fluid dynamics; Uncertainty quantification

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APA (6th Edition):

Leonardi, F. (2018). Numerical methods for ensemble based solutions to incompressible flow equations. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/296003

Chicago Manual of Style (16th Edition):

Leonardi, Filippo. “Numerical methods for ensemble based solutions to incompressible flow equations.” 2018. Doctoral Dissertation, ETH Zürich. Accessed May 21, 2019. http://hdl.handle.net/20.500.11850/296003.

MLA Handbook (7th Edition):

Leonardi, Filippo. “Numerical methods for ensemble based solutions to incompressible flow equations.” 2018. Web. 21 May 2019.

Vancouver:

Leonardi F. Numerical methods for ensemble based solutions to incompressible flow equations. [Internet] [Doctoral dissertation]. ETH Zürich; 2018. [cited 2019 May 21]. Available from: http://hdl.handle.net/20.500.11850/296003.

Council of Science Editors:

Leonardi F. Numerical methods for ensemble based solutions to incompressible flow equations. [Doctoral Dissertation]. ETH Zürich; 2018. Available from: http://hdl.handle.net/20.500.11850/296003


Virginia Tech

8. King, Michael Allen. Ensemble Learning Techniques for Structured and Unstructured Data.

Degree: PhD, Business Information Technology, 2015, Virginia Tech

 This research provides an integrated approach of applying innovative ensemble learning techniques that has the potential to increase the overall accuracy of classification models. Actual… (more)

Subjects/Keywords: ensemble methods; data mining; machine learning; classification; structured data; unstructured data

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APA (6th Edition):

King, M. A. (2015). Ensemble Learning Techniques for Structured and Unstructured Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51667

Chicago Manual of Style (16th Edition):

King, Michael Allen. “Ensemble Learning Techniques for Structured and Unstructured Data.” 2015. Doctoral Dissertation, Virginia Tech. Accessed May 21, 2019. http://hdl.handle.net/10919/51667.

MLA Handbook (7th Edition):

King, Michael Allen. “Ensemble Learning Techniques for Structured and Unstructured Data.” 2015. Web. 21 May 2019.

Vancouver:

King MA. Ensemble Learning Techniques for Structured and Unstructured Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 May 21]. Available from: http://hdl.handle.net/10919/51667.

Council of Science Editors:

King MA. Ensemble Learning Techniques for Structured and Unstructured Data. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51667


University of Toronto

9. Poos, Mark S. Conservation by Consensus: Reducing Uncertainty from Methodological Choices in Conservation-based Models.

Degree: 2010, University of Toronto

Modeling species of conservation concern, such as those that are rare, declining, or have a conservation designation (e.g. endangered or threatened), remains an activity filled… (more)

Subjects/Keywords: statistical methods; conservation biology; endangered species; ensemble models; 0329

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APA (6th Edition):

Poos, M. S. (2010). Conservation by Consensus: Reducing Uncertainty from Methodological Choices in Conservation-based Models. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/24858

Chicago Manual of Style (16th Edition):

Poos, Mark S. “Conservation by Consensus: Reducing Uncertainty from Methodological Choices in Conservation-based Models.” 2010. Doctoral Dissertation, University of Toronto. Accessed May 21, 2019. http://hdl.handle.net/1807/24858.

MLA Handbook (7th Edition):

Poos, Mark S. “Conservation by Consensus: Reducing Uncertainty from Methodological Choices in Conservation-based Models.” 2010. Web. 21 May 2019.

Vancouver:

Poos MS. Conservation by Consensus: Reducing Uncertainty from Methodological Choices in Conservation-based Models. [Internet] [Doctoral dissertation]. University of Toronto; 2010. [cited 2019 May 21]. Available from: http://hdl.handle.net/1807/24858.

Council of Science Editors:

Poos MS. Conservation by Consensus: Reducing Uncertainty from Methodological Choices in Conservation-based Models. [Doctoral Dissertation]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/24858


IUPUI

10. Fan, Ziwei. Ensemble methods for top-N recommendation.

Degree: 2018, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

As the amount of information grows, the desire to efficiently filter out unnecessary information and retain relevant or interested information… (more)

Subjects/Keywords: Recommender Systems; Data Mining; Ensemble Methods; Top-N Recommendation

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APA (6th Edition):

Fan, Z. (2018). Ensemble methods for top-N recommendation. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/15937

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fan, Ziwei. “Ensemble methods for top-N recommendation.” 2018. Thesis, IUPUI. Accessed May 21, 2019. http://hdl.handle.net/1805/15937.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fan, Ziwei. “Ensemble methods for top-N recommendation.” 2018. Web. 21 May 2019.

Vancouver:

Fan Z. Ensemble methods for top-N recommendation. [Internet] [Thesis]. IUPUI; 2018. [cited 2019 May 21]. Available from: http://hdl.handle.net/1805/15937.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fan Z. Ensemble methods for top-N recommendation. [Thesis]. IUPUI; 2018. Available from: http://hdl.handle.net/1805/15937

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Pisetta, Vincent. New Insights into Decision Trees Ensembles : Nouveaux apports dans l'apprentissage par ensembles d'arbres.

Degree: Docteur es, Informatique, 2012, Université Lumière – Lyon II

Les ensembles d’arbres constituent à l’heure actuelle l’une des méthodes d’apprentissage statistique les plus performantes. Toutefois, leurs propriétés théoriques, ainsi que leurs performances empiriques restent… (more)

Subjects/Keywords: Méthodes ensemblistes; Boosting; Forêts aléatoires; Discrimination Stochastique; Ensemble methods; Boosting; Random Forests; Stochastic Discrimination

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APA (6th Edition):

Pisetta, V. (2012). New Insights into Decision Trees Ensembles : Nouveaux apports dans l'apprentissage par ensembles d'arbres. (Doctoral Dissertation). Université Lumière – Lyon II. Retrieved from http://www.theses.fr/2012LYO20018

Chicago Manual of Style (16th Edition):

Pisetta, Vincent. “New Insights into Decision Trees Ensembles : Nouveaux apports dans l'apprentissage par ensembles d'arbres.” 2012. Doctoral Dissertation, Université Lumière – Lyon II. Accessed May 21, 2019. http://www.theses.fr/2012LYO20018.

MLA Handbook (7th Edition):

Pisetta, Vincent. “New Insights into Decision Trees Ensembles : Nouveaux apports dans l'apprentissage par ensembles d'arbres.” 2012. Web. 21 May 2019.

Vancouver:

Pisetta V. New Insights into Decision Trees Ensembles : Nouveaux apports dans l'apprentissage par ensembles d'arbres. [Internet] [Doctoral dissertation]. Université Lumière – Lyon II; 2012. [cited 2019 May 21]. Available from: http://www.theses.fr/2012LYO20018.

Council of Science Editors:

Pisetta V. New Insights into Decision Trees Ensembles : Nouveaux apports dans l'apprentissage par ensembles d'arbres. [Doctoral Dissertation]. Université Lumière – Lyon II; 2012. Available from: http://www.theses.fr/2012LYO20018


University of Manchester

12. Steinki, Oliver. An investigation of ensemble methods to improve the bias and/or variance of option pricing models based on Lévy processes.

Degree: Thesis (D.B.A.), 2015, University of Manchester

 This thesis introduces a novel theoretical option pricing ensemble framework to improve the bias and variance of option pricing models, especially those based on Levy… (more)

Subjects/Keywords: 338.5; option pricing; levy process; ensemble methods; derivatives pricing; dax; model uncertainty

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APA (6th Edition):

Steinki, O. (2015). An investigation of ensemble methods to improve the bias and/or variance of option pricing models based on Lévy processes. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/an-investigation-of-ensemble-methods-to-improve-the-bias-andor-variance-of-option-pricing-models-based-on-levy-processes(8c4f1c41-2b87-4138-a6d6-91e8292b0f23).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.644491

Chicago Manual of Style (16th Edition):

Steinki, Oliver. “An investigation of ensemble methods to improve the bias and/or variance of option pricing models based on Lévy processes.” 2015. Doctoral Dissertation, University of Manchester. Accessed May 21, 2019. https://www.research.manchester.ac.uk/portal/en/theses/an-investigation-of-ensemble-methods-to-improve-the-bias-andor-variance-of-option-pricing-models-based-on-levy-processes(8c4f1c41-2b87-4138-a6d6-91e8292b0f23).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.644491.

MLA Handbook (7th Edition):

Steinki, Oliver. “An investigation of ensemble methods to improve the bias and/or variance of option pricing models based on Lévy processes.” 2015. Web. 21 May 2019.

Vancouver:

Steinki O. An investigation of ensemble methods to improve the bias and/or variance of option pricing models based on Lévy processes. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2019 May 21]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/an-investigation-of-ensemble-methods-to-improve-the-bias-andor-variance-of-option-pricing-models-based-on-levy-processes(8c4f1c41-2b87-4138-a6d6-91e8292b0f23).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.644491.

Council of Science Editors:

Steinki O. An investigation of ensemble methods to improve the bias and/or variance of option pricing models based on Lévy processes. [Doctoral Dissertation]. University of Manchester; 2015. Available from: https://www.research.manchester.ac.uk/portal/en/theses/an-investigation-of-ensemble-methods-to-improve-the-bias-andor-variance-of-option-pricing-models-based-on-levy-processes(8c4f1c41-2b87-4138-a6d6-91e8292b0f23).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.644491


University of California – Berkeley

13. Sapp, Stephanie. Subsemble: A Flexible Subset Ensemble Prediction Method.

Degree: Statistics, 2014, University of California – Berkeley

Ensemble methods using the same underlying algorithm trained on different subsets of observations have recently received increased attention as practical prediction tools for massive data… (more)

Subjects/Keywords: Statistics; big data; cross-validation; ensemble methods; machine learning; prediction; supervised learning

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APA (6th Edition):

Sapp, S. (2014). Subsemble: A Flexible Subset Ensemble Prediction Method. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/4136x997

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sapp, Stephanie. “Subsemble: A Flexible Subset Ensemble Prediction Method.” 2014. Thesis, University of California – Berkeley. Accessed May 21, 2019. http://www.escholarship.org/uc/item/4136x997.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sapp, Stephanie. “Subsemble: A Flexible Subset Ensemble Prediction Method.” 2014. Web. 21 May 2019.

Vancouver:

Sapp S. Subsemble: A Flexible Subset Ensemble Prediction Method. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2019 May 21]. Available from: http://www.escholarship.org/uc/item/4136x997.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sapp S. Subsemble: A Flexible Subset Ensemble Prediction Method. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/4136x997

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Kankanala, Padmavathy. Machine learning methods for the estimation of weather and animal-related power outages on overhead distribution feeders.

Degree: PhD, Department of Electrical and Computer Engineering, 2013, Kansas State University

 Because a majority of day-to-day activities rely on electricity, it plays an important role in daily life. In this digital world, most of the people’s… (more)

Subjects/Keywords: Overhead distribution system; Distribution reliability; Weather & animal-related outages; Ensemble learning methods; Electrical Engineering (0544)

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APA (6th Edition):

Kankanala, P. (2013). Machine learning methods for the estimation of weather and animal-related power outages on overhead distribution feeders. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/16914

Chicago Manual of Style (16th Edition):

Kankanala, Padmavathy. “Machine learning methods for the estimation of weather and animal-related power outages on overhead distribution feeders.” 2013. Doctoral Dissertation, Kansas State University. Accessed May 21, 2019. http://hdl.handle.net/2097/16914.

MLA Handbook (7th Edition):

Kankanala, Padmavathy. “Machine learning methods for the estimation of weather and animal-related power outages on overhead distribution feeders.” 2013. Web. 21 May 2019.

Vancouver:

Kankanala P. Machine learning methods for the estimation of weather and animal-related power outages on overhead distribution feeders. [Internet] [Doctoral dissertation]. Kansas State University; 2013. [cited 2019 May 21]. Available from: http://hdl.handle.net/2097/16914.

Council of Science Editors:

Kankanala P. Machine learning methods for the estimation of weather and animal-related power outages on overhead distribution feeders. [Doctoral Dissertation]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/16914


University of Waterloo

15. Datta Gupta, Syamantak. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.

Degree: 2009, University of Waterloo

 Non-linear Bayesian estimation, or estimation of the state of a non-linear stochastic system from a set of indirect noisy measurements is a problem encountered in… (more)

Subjects/Keywords: Bayesian estimation; non-linear filtering; particle filter; ensemble Kalman filter; Monte Carlo methods; Bayesian inference

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APA (6th Edition):

Datta Gupta, S. (2009). A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Thesis, University of Waterloo. Accessed May 21, 2019. http://hdl.handle.net/10012/4503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Web. 21 May 2019.

Vancouver:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 May 21]. Available from: http://hdl.handle.net/10012/4503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Luiz Felipe Campos de Rezende. Mineração de dados aplicada à análise e predição de cintilação ionosférica.

Degree: 2009, Instituto Nacional de Pesquisas Espaciais

Irregularidades ionosféricas podem causar flutuações de amplitude e fase de sinais de rádio. Essa distorção é conhecida como cintilação ionosférica. As irregularidades ionosféricas ocorrem como… (more)

Subjects/Keywords: mineração de dados; cintilação ionosférica; clima espacial; métodos ensemble; data mining; ionospheric scintillation; space weather; ensemble methods; Sistema de Posicionamento Global (GPS); Global Positioning System (GPS)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rezende, L. F. C. d. (2009). Mineração de dados aplicada à análise e predição de cintilação ionosférica. (Thesis). Instituto Nacional de Pesquisas Espaciais. Retrieved from http://urlib.net/sid.inpe.br/[email protected]/2009/06.22.15.52

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rezende, Luiz Felipe Campos de. “Mineração de dados aplicada à análise e predição de cintilação ionosférica.” 2009. Thesis, Instituto Nacional de Pesquisas Espaciais. Accessed May 21, 2019. http://urlib.net/sid.inpe.br/[email protected]/2009/06.22.15.52.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rezende, Luiz Felipe Campos de. “Mineração de dados aplicada à análise e predição de cintilação ionosférica.” 2009. Web. 21 May 2019.

Vancouver:

Rezende LFCd. Mineração de dados aplicada à análise e predição de cintilação ionosférica. [Internet] [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2009. [cited 2019 May 21]. Available from: http://urlib.net/sid.inpe.br/[email protected]/2009/06.22.15.52.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rezende LFCd. Mineração de dados aplicada à análise e predição de cintilação ionosférica. [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2009. Available from: http://urlib.net/sid.inpe.br/[email protected]/2009/06.22.15.52

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Grenoble

17. Bonan, Bertrand. Assimilation de données pour l'initialisation et l'estimation de paramètres d'un modèle d'évolution de calotte polaire : Data assimilation for initialisation and parameter estimation of an ice sheet evolution model.

Degree: Docteur es, Mathématiques appliquées, 2013, Université de Grenoble

L'évolution des calottes polaires est régie à la fois par une dynamique d'écoulement complexe et par des mécanismes tel le glissement à la base, la… (more)

Subjects/Keywords: Assimilation de données; Méthodes inverses; Estimation de paramètres; Filtre de Kalman d\'ensemble; Glaciologie; Calottes polaires; Data assimilation; Inverse methods; Parameter estimation; Ensemble Kalman Filter; Glaciology; Polar ice sheets; 510

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bonan, B. (2013). Assimilation de données pour l'initialisation et l'estimation de paramètres d'un modèle d'évolution de calotte polaire : Data assimilation for initialisation and parameter estimation of an ice sheet evolution model. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2013GRENM091

Chicago Manual of Style (16th Edition):

Bonan, Bertrand. “Assimilation de données pour l'initialisation et l'estimation de paramètres d'un modèle d'évolution de calotte polaire : Data assimilation for initialisation and parameter estimation of an ice sheet evolution model.” 2013. Doctoral Dissertation, Université de Grenoble. Accessed May 21, 2019. http://www.theses.fr/2013GRENM091.

MLA Handbook (7th Edition):

Bonan, Bertrand. “Assimilation de données pour l'initialisation et l'estimation de paramètres d'un modèle d'évolution de calotte polaire : Data assimilation for initialisation and parameter estimation of an ice sheet evolution model.” 2013. Web. 21 May 2019.

Vancouver:

Bonan B. Assimilation de données pour l'initialisation et l'estimation de paramètres d'un modèle d'évolution de calotte polaire : Data assimilation for initialisation and parameter estimation of an ice sheet evolution model. [Internet] [Doctoral dissertation]. Université de Grenoble; 2013. [cited 2019 May 21]. Available from: http://www.theses.fr/2013GRENM091.

Council of Science Editors:

Bonan B. Assimilation de données pour l'initialisation et l'estimation de paramètres d'un modèle d'évolution de calotte polaire : Data assimilation for initialisation and parameter estimation of an ice sheet evolution model. [Doctoral Dissertation]. Université de Grenoble; 2013. Available from: http://www.theses.fr/2013GRENM091

18. Haussaire, Jean-Matthieu. Méthodes variationnelles d'ensemble itératives pour l'assimilation de données non-linéaire : Application au transport et la chimie atmosphérique : Iterative ensemble variational methods for nonlinear data assimilation : Application to transport and atmospheric chemistry.

Degree: Docteur es, Sciences et Techniques de l'Environnement, 2017, Université Paris-Est

 Les méthodes d'assimilation de données sont en constante évolution pour s'adapter aux problèmes à résoudre dans les multiples domaines d’application. En sciences de l'atmosphère, chaque… (more)

Subjects/Keywords: Assimilation de donnée; Méthode variationnelle d'ensemble; 4D Var; EnKF; Chimie atmosphérique; Data assimilation; Ensemble variational methods; 4D Var; EnKF; Atmospheric chemistry

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Haussaire, J. (2017). Méthodes variationnelles d'ensemble itératives pour l'assimilation de données non-linéaire : Application au transport et la chimie atmosphérique : Iterative ensemble variational methods for nonlinear data assimilation : Application to transport and atmospheric chemistry. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2017PESC1097

Chicago Manual of Style (16th Edition):

Haussaire, Jean-Matthieu. “Méthodes variationnelles d'ensemble itératives pour l'assimilation de données non-linéaire : Application au transport et la chimie atmosphérique : Iterative ensemble variational methods for nonlinear data assimilation : Application to transport and atmospheric chemistry.” 2017. Doctoral Dissertation, Université Paris-Est. Accessed May 21, 2019. http://www.theses.fr/2017PESC1097.

MLA Handbook (7th Edition):

Haussaire, Jean-Matthieu. “Méthodes variationnelles d'ensemble itératives pour l'assimilation de données non-linéaire : Application au transport et la chimie atmosphérique : Iterative ensemble variational methods for nonlinear data assimilation : Application to transport and atmospheric chemistry.” 2017. Web. 21 May 2019.

Vancouver:

Haussaire J. Méthodes variationnelles d'ensemble itératives pour l'assimilation de données non-linéaire : Application au transport et la chimie atmosphérique : Iterative ensemble variational methods for nonlinear data assimilation : Application to transport and atmospheric chemistry. [Internet] [Doctoral dissertation]. Université Paris-Est; 2017. [cited 2019 May 21]. Available from: http://www.theses.fr/2017PESC1097.

Council of Science Editors:

Haussaire J. Méthodes variationnelles d'ensemble itératives pour l'assimilation de données non-linéaire : Application au transport et la chimie atmosphérique : Iterative ensemble variational methods for nonlinear data assimilation : Application to transport and atmospheric chemistry. [Doctoral Dissertation]. Université Paris-Est; 2017. Available from: http://www.theses.fr/2017PESC1097

19. Elahi, Haroon. A Boosted-Window Ensemble.

Degree: 2014, , Department of Computer Science and Engineering

  Context. The problem of obtaining predictions from stream data involves training on the labeled instances and suggesting the class values for the unseen stream… (more)

Subjects/Keywords: Stream Mining; Supervised-learning by classification; Online learning algorithms; Ensemble Methods; Boosting; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Elahi, H. (2014). A Boosted-Window Ensemble. (Thesis). , Department of Computer Science and Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Elahi, Haroon. “A Boosted-Window Ensemble.” 2014. Thesis, , Department of Computer Science and Engineering. Accessed May 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Elahi, Haroon. “A Boosted-Window Ensemble.” 2014. Web. 21 May 2019.

Vancouver:

Elahi H. A Boosted-Window Ensemble. [Internet] [Thesis]. , Department of Computer Science and Engineering; 2014. [cited 2019 May 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Elahi H. A Boosted-Window Ensemble. [Thesis]. , Department of Computer Science and Engineering; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Καλλά, Μαρία-Παυλίνα. Εξόρυξη γνώσης από ιατροβιολογικά δεδομένα.

Degree: 2012, University of Patras

Πίσω από όλα αυτά τα δεδομένα που υπάρχουν κρύβεται ένας τεράστιος θησαυρός γνώσεων τον οποίο δεν μπορούμε να αντιληφθούμε καθώς η μορφή των πληροφοριών δεν… (more)

Subjects/Keywords: Βιοπληροφορική; Βιολογικές βάσεις δεδομένων; Εξόρυξη γνώσης; Αλγόριθμοι κατηγοριοποίησης; 610.285; Bioinformatics; Data mining; Classification algorithms; Biological databases; Ensemble methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Καλλά, . (2012). Εξόρυξη γνώσης από ιατροβιολογικά δεδομένα. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/5893

Chicago Manual of Style (16th Edition):

Καλλά, Μαρία-Παυλίνα. “Εξόρυξη γνώσης από ιατροβιολογικά δεδομένα.” 2012. Masters Thesis, University of Patras. Accessed May 21, 2019. http://hdl.handle.net/10889/5893.

MLA Handbook (7th Edition):

Καλλά, Μαρία-Παυλίνα. “Εξόρυξη γνώσης από ιατροβιολογικά δεδομένα.” 2012. Web. 21 May 2019.

Vancouver:

Καλλά . Εξόρυξη γνώσης από ιατροβιολογικά δεδομένα. [Internet] [Masters thesis]. University of Patras; 2012. [cited 2019 May 21]. Available from: http://hdl.handle.net/10889/5893.

Council of Science Editors:

Καλλά . Εξόρυξη γνώσης από ιατροβιολογικά δεδομένα. [Masters Thesis]. University of Patras; 2012. Available from: http://hdl.handle.net/10889/5893

21. Λιβιέρης, Ιωάννης. Αποτίμηση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων και εφαρμογές.

Degree: 2008, University of Patras

Τα τεχνητά νευρωνικά δίκτυα είναι μια μορφή τεχνητής νοημοσύνης, τα οποία αποτελούνται από ένα σύνολο απλών, διασυνδεδεμένων και προσαρμοστικών μονάδων, οι οποίες συνιστούν ένα παράλληλο… (more)

Subjects/Keywords: Νευρωνικά δίκτυα; Μέθοδοι εκπαίδευσης; Μηχανική μάθηση; Μέθοδοι συνδυασμού ταξινομητών; 006.3; Neural networks; Training methods; Data mining; Ensemble of classifiers

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Λιβιέρης, . (2008). Αποτίμηση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων και εφαρμογές. (Masters Thesis). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/1821

Chicago Manual of Style (16th Edition):

Λιβιέρης, Ιωάννης. “Αποτίμηση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων και εφαρμογές.” 2008. Masters Thesis, University of Patras. Accessed May 21, 2019. http://nemertes.lis.upatras.gr/jspui/handle/10889/1821.

MLA Handbook (7th Edition):

Λιβιέρης, Ιωάννης. “Αποτίμηση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων και εφαρμογές.” 2008. Web. 21 May 2019.

Vancouver:

Λιβιέρης . Αποτίμηση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων και εφαρμογές. [Internet] [Masters thesis]. University of Patras; 2008. [cited 2019 May 21]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/1821.

Council of Science Editors:

Λιβιέρης . Αποτίμηση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων και εφαρμογές. [Masters Thesis]. University of Patras; 2008. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/1821

22. Ραπακούλια, Τρισεύγενη. Σχεδιασμός, υλοποίηση και εφαρμογή μεθόδων υπολογιστικής νοημοσύνης για την πρόβλεψη παθογόνων μονονουκλεοτιδικών πολυμορφισμών.

Degree: 2013, University of Patras

 Η πιο απλή μορφή γενετικής διαφοροποίησης στον άνθρωπο είναι οι μονονουκλεοτιδικοί πολυμορφισμοί (Single Nucleotide Polymorphisms - SNPs). Ο αριθμός αυτού του είδους πολυμορφισμών που έχουν… (more)

Subjects/Keywords: Παθογόνες μεταλλάξεις; Μονονουκλεοτιδικοί πολυμορφισμοί; Μηχανική μάθηση; Γενετικοί αλγόριθμοι; 616.042; Pathogenic mutations; Single Nucleotide Polymorphisms (SNPs); Ensemble methods; Support vector regression

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ραπακούλια, . (2013). Σχεδιασμός, υλοποίηση και εφαρμογή μεθόδων υπολογιστικής νοημοσύνης για την πρόβλεψη παθογόνων μονονουκλεοτιδικών πολυμορφισμών. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/6313

Chicago Manual of Style (16th Edition):

Ραπακούλια, Τρισεύγενη. “Σχεδιασμός, υλοποίηση και εφαρμογή μεθόδων υπολογιστικής νοημοσύνης για την πρόβλεψη παθογόνων μονονουκλεοτιδικών πολυμορφισμών.” 2013. Masters Thesis, University of Patras. Accessed May 21, 2019. http://hdl.handle.net/10889/6313.

MLA Handbook (7th Edition):

Ραπακούλια, Τρισεύγενη. “Σχεδιασμός, υλοποίηση και εφαρμογή μεθόδων υπολογιστικής νοημοσύνης για την πρόβλεψη παθογόνων μονονουκλεοτιδικών πολυμορφισμών.” 2013. Web. 21 May 2019.

Vancouver:

Ραπακούλια . Σχεδιασμός, υλοποίηση και εφαρμογή μεθόδων υπολογιστικής νοημοσύνης για την πρόβλεψη παθογόνων μονονουκλεοτιδικών πολυμορφισμών. [Internet] [Masters thesis]. University of Patras; 2013. [cited 2019 May 21]. Available from: http://hdl.handle.net/10889/6313.

Council of Science Editors:

Ραπακούλια . Σχεδιασμός, υλοποίηση και εφαρμογή μεθόδων υπολογιστικής νοημοσύνης για την πρόβλεψη παθογόνων μονονουκλεοτιδικών πολυμορφισμών. [Masters Thesis]. University of Patras; 2013. Available from: http://hdl.handle.net/10889/6313


University of Alabama

23. Martinez Cid, Waldyn Gerardo. Three essays on the use of margins to improve ensemble methods.

Degree: 2012, University of Alabama

Ensemble methods, such as bagging (Breiman, 1996), boosting (Freund and Schapire, 1997) and random forests (Breiman, 2001) combine a large number of classifiers through (weighted)… (more)

Subjects/Keywords: Electronic Thesis or Dissertation;  – thesis; Statistics; AdaBoost; Classification Noise; Ensemble Methods; Generalization Error; Linear Programming; Margins

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Martinez Cid, W. G. (2012). Three essays on the use of margins to improve ensemble methods. (Thesis). University of Alabama. Retrieved from http://purl.lib.ua.edu/81381

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Martinez Cid, Waldyn Gerardo. “Three essays on the use of margins to improve ensemble methods.” 2012. Thesis, University of Alabama. Accessed May 21, 2019. http://purl.lib.ua.edu/81381.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Martinez Cid, Waldyn Gerardo. “Three essays on the use of margins to improve ensemble methods.” 2012. Web. 21 May 2019.

Vancouver:

Martinez Cid WG. Three essays on the use of margins to improve ensemble methods. [Internet] [Thesis]. University of Alabama; 2012. [cited 2019 May 21]. Available from: http://purl.lib.ua.edu/81381.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Martinez Cid WG. Three essays on the use of margins to improve ensemble methods. [Thesis]. University of Alabama; 2012. Available from: http://purl.lib.ua.edu/81381

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Carnegie Mellon University

24. Fiterau, Madalina. Discovering Compact and Informative Structures through Data Partitioning.

Degree: 2015, Carnegie Mellon University

 In many practical scenarios, prediction for high-dimensional observations can be accurately performed using only a fraction of the existing features. However, the set of relevant… (more)

Subjects/Keywords: informative projection recovery; cost-based feature selection; ensemble methods; data partitioning; active learning; clinical data analysis

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APA (6th Edition):

Fiterau, M. (2015). Discovering Compact and Informative Structures through Data Partitioning. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/792

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fiterau, Madalina. “Discovering Compact and Informative Structures through Data Partitioning.” 2015. Thesis, Carnegie Mellon University. Accessed May 21, 2019. http://repository.cmu.edu/dissertations/792.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fiterau, Madalina. “Discovering Compact and Informative Structures through Data Partitioning.” 2015. Web. 21 May 2019.

Vancouver:

Fiterau M. Discovering Compact and Informative Structures through Data Partitioning. [Internet] [Thesis]. Carnegie Mellon University; 2015. [cited 2019 May 21]. Available from: http://repository.cmu.edu/dissertations/792.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fiterau M. Discovering Compact and Informative Structures through Data Partitioning. [Thesis]. Carnegie Mellon University; 2015. Available from: http://repository.cmu.edu/dissertations/792

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Arizona State University

25. Torres Garcia, Wandaliz. Integrative Analyses of Diverse Biological Data Sources.

Degree: PhD, Industrial Engineering, 2011, Arizona State University

 The technology expansion seen in the last decade for genomics research has permitted the generation of large-scale data sources pertaining to molecular biological assays, genomics,… (more)

Subjects/Keywords: Industrial Engineering; Bioinformatics; Biostatistics; Data integration; Data mining; Ensemble methods; Genomics; Multiple time series; Single-cell studies

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Torres Garcia, W. (2011). Integrative Analyses of Diverse Biological Data Sources. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/9224

Chicago Manual of Style (16th Edition):

Torres Garcia, Wandaliz. “Integrative Analyses of Diverse Biological Data Sources.” 2011. Doctoral Dissertation, Arizona State University. Accessed May 21, 2019. http://repository.asu.edu/items/9224.

MLA Handbook (7th Edition):

Torres Garcia, Wandaliz. “Integrative Analyses of Diverse Biological Data Sources.” 2011. Web. 21 May 2019.

Vancouver:

Torres Garcia W. Integrative Analyses of Diverse Biological Data Sources. [Internet] [Doctoral dissertation]. Arizona State University; 2011. [cited 2019 May 21]. Available from: http://repository.asu.edu/items/9224.

Council of Science Editors:

Torres Garcia W. Integrative Analyses of Diverse Biological Data Sources. [Doctoral Dissertation]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/9224

26. Suárez, Alberto. Switching class labels to generate classification ensembles.

Degree: 2018, Elsevier BV

Subjects/Keywords: Bagging; Boosting; Classification; Decision tree; Ensemble methods; Informática

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Suárez, A. (2018). Switching class labels to generate classification ensembles. (Thesis). Elsevier BV. Retrieved from http://hdl.handle.net/10486/664131

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Suárez, Alberto. “Switching class labels to generate classification ensembles.” 2018. Thesis, Elsevier BV. Accessed May 21, 2019. http://hdl.handle.net/10486/664131.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Suárez, Alberto. “Switching class labels to generate classification ensembles.” 2018. Web. 21 May 2019.

Vancouver:

Suárez A. Switching class labels to generate classification ensembles. [Internet] [Thesis]. Elsevier BV; 2018. [cited 2019 May 21]. Available from: http://hdl.handle.net/10486/664131.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Suárez A. Switching class labels to generate classification ensembles. [Thesis]. Elsevier BV; 2018. Available from: http://hdl.handle.net/10486/664131

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

27. Balasubramanyam, Rashmi. Supervised Classification of Missense Mutations as Pathogenic or Tolerated using Ensemble Learning Methods.

Degree: 2017, Indian Institute of Science

 Missense mutations account for more than 50% of the mutations known to be involved in human inherited diseases. Missense classification is a challenging task that… (more)

Subjects/Keywords: Missense Classification; Supervised Classification; Ensemble Learning Methods; Missense Mutation Classification; Missense Classifiers; Missense Mutations; Computer Science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Balasubramanyam, R. (2017). Supervised Classification of Missense Mutations as Pathogenic or Tolerated using Ensemble Learning Methods. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/2005/3804 ; http://etd.iisc.ernet.in/abstracts/4674/G28613-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Balasubramanyam, Rashmi. “Supervised Classification of Missense Mutations as Pathogenic or Tolerated using Ensemble Learning Methods.” 2017. Thesis, Indian Institute of Science. Accessed May 21, 2019. http://etd.iisc.ernet.in/2005/3804 ; http://etd.iisc.ernet.in/abstracts/4674/G28613-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Balasubramanyam, Rashmi. “Supervised Classification of Missense Mutations as Pathogenic or Tolerated using Ensemble Learning Methods.” 2017. Web. 21 May 2019.

Vancouver:

Balasubramanyam R. Supervised Classification of Missense Mutations as Pathogenic or Tolerated using Ensemble Learning Methods. [Internet] [Thesis]. Indian Institute of Science; 2017. [cited 2019 May 21]. Available from: http://etd.iisc.ernet.in/2005/3804 ; http://etd.iisc.ernet.in/abstracts/4674/G28613-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Balasubramanyam R. Supervised Classification of Missense Mutations as Pathogenic or Tolerated using Ensemble Learning Methods. [Thesis]. Indian Institute of Science; 2017. Available from: http://etd.iisc.ernet.in/2005/3804 ; http://etd.iisc.ernet.in/abstracts/4674/G28613-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Miami

28. Sarinnapakorn, Kanoksri. Induction of Classifiers from Multi-labeled Examples: an Information-retrieval Point of View.

Degree: PhD, Electrical and Computer Engineering (Engineering), 2007, University of Miami

 An important task of information retrieval is to induce classifiers capable of categorizing text documents. The fact that the same document can simultaneously belong to… (more)

Subjects/Keywords: BoosTexter; Weighted Sum; Ensemble Of Classifiers; Adaboost.MH; Voting Methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sarinnapakorn, K. (2007). Induction of Classifiers from Multi-labeled Examples: an Information-retrieval Point of View. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/16

Chicago Manual of Style (16th Edition):

Sarinnapakorn, Kanoksri. “Induction of Classifiers from Multi-labeled Examples: an Information-retrieval Point of View.” 2007. Doctoral Dissertation, University of Miami. Accessed May 21, 2019. https://scholarlyrepository.miami.edu/oa_dissertations/16.

MLA Handbook (7th Edition):

Sarinnapakorn, Kanoksri. “Induction of Classifiers from Multi-labeled Examples: an Information-retrieval Point of View.” 2007. Web. 21 May 2019.

Vancouver:

Sarinnapakorn K. Induction of Classifiers from Multi-labeled Examples: an Information-retrieval Point of View. [Internet] [Doctoral dissertation]. University of Miami; 2007. [cited 2019 May 21]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/16.

Council of Science Editors:

Sarinnapakorn K. Induction of Classifiers from Multi-labeled Examples: an Information-retrieval Point of View. [Doctoral Dissertation]. University of Miami; 2007. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/16


George Mason University

29. Ngufor, Che G. Optimal Integration of Machine Learning Models: A Large-Scale Distributed Learning Framework with Application to Systematic Prediction of Adverse Drug Reactions .

Degree: 2014, George Mason University

 Too often in the real world information from multiple sources such as humans, experts, agents, or classifiers need to be integrated to provide support for… (more)

Subjects/Keywords: Statistics; Mathematics; Computer science; Active Learning; Adverse Drug Reactions; Ensemble Learning; MapReduce; Parallel and Distributed Machine Learning; Variational Bayesian Methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ngufor, C. G. (2014). Optimal Integration of Machine Learning Models: A Large-Scale Distributed Learning Framework with Application to Systematic Prediction of Adverse Drug Reactions . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/9190

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ngufor, Che G. “Optimal Integration of Machine Learning Models: A Large-Scale Distributed Learning Framework with Application to Systematic Prediction of Adverse Drug Reactions .” 2014. Thesis, George Mason University. Accessed May 21, 2019. http://hdl.handle.net/1920/9190.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ngufor, Che G. “Optimal Integration of Machine Learning Models: A Large-Scale Distributed Learning Framework with Application to Systematic Prediction of Adverse Drug Reactions .” 2014. Web. 21 May 2019.

Vancouver:

Ngufor CG. Optimal Integration of Machine Learning Models: A Large-Scale Distributed Learning Framework with Application to Systematic Prediction of Adverse Drug Reactions . [Internet] [Thesis]. George Mason University; 2014. [cited 2019 May 21]. Available from: http://hdl.handle.net/1920/9190.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ngufor CG. Optimal Integration of Machine Learning Models: A Large-Scale Distributed Learning Framework with Application to Systematic Prediction of Adverse Drug Reactions . [Thesis]. George Mason University; 2014. Available from: http://hdl.handle.net/1920/9190

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Jin, Xin. Multi-Version Search and Cache-Conscious Ranking Optimization.

Degree: 2017, University of California – eScholarship, University of California

 Organizations and companies archive many versions of digital data such as web pages, internal emails and so on. Such data is critical for internal investigation,… (more)

Subjects/Keywords: Computer science; cache locality; ensemble methods; positional inverted index; query processing; search in document archives; versioned data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jin, X. (2017). Multi-Version Search and Cache-Conscious Ranking Optimization. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/6c9477tt

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jin, Xin. “Multi-Version Search and Cache-Conscious Ranking Optimization.” 2017. Thesis, University of California – eScholarship, University of California. Accessed May 21, 2019. http://www.escholarship.org/uc/item/6c9477tt.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jin, Xin. “Multi-Version Search and Cache-Conscious Ranking Optimization.” 2017. Web. 21 May 2019.

Vancouver:

Jin X. Multi-Version Search and Cache-Conscious Ranking Optimization. [Internet] [Thesis]. University of California – eScholarship, University of California; 2017. [cited 2019 May 21]. Available from: http://www.escholarship.org/uc/item/6c9477tt.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jin X. Multi-Version Search and Cache-Conscious Ranking Optimization. [Thesis]. University of California – eScholarship, University of California; 2017. Available from: http://www.escholarship.org/uc/item/6c9477tt

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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