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You searched for subject:(Feature Subset Selection). Showing records 1 – 11 of 11 total matches.

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Université Catholique de Louvain

1. Tits, Cédric. Application of feature subset selection on meaningful features leads to promising results for spike sorting.

Degree: 2016, Université Catholique de Louvain

Understanding the visual system is a real interest since it contributes to one of the most important sense for human: the vision. To achieve this… (more)

Subjects/Keywords: Feature Subset Selection; Spike Sorting

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

APA (6th Edition):

Tits, C. (2016). Application of feature subset selection on meaningful features leads to promising results for spike sorting. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:4588

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):

Tits, Cédric. “Application of feature subset selection on meaningful features leads to promising results for spike sorting.” 2016. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/thesis:4588.

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

MLA Handbook (7th Edition):

Tits, Cédric. “Application of feature subset selection on meaningful features leads to promising results for spike sorting.” 2016. Web. 25 Jun 2019.

Vancouver:

Tits C. Application of feature subset selection on meaningful features leads to promising results for spike sorting. [Internet] [Thesis]. Université Catholique de Louvain; 2016. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/thesis:4588.

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

Council of Science Editors:

Tits C. Application of feature subset selection on meaningful features leads to promising results for spike sorting. [Thesis]. Université Catholique de Louvain; 2016. Available from: http://hdl.handle.net/2078.1/thesis:4588

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


Rice University

2. Hendryx, Emily. Subset Selection and Feature Identification in the Electrocardiogram.

Degree: PhD, Engineering, 2018, Rice University

 Each feature in the electrocardiogram (ECG) corresponds to a different part of the cardiac cycle. Tracking changes in these features over long periods of time… (more)

Subjects/Keywords: subset selection; electrocardiogram; discrete empirical interpolation method; feature identification

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APA (6th Edition):

Hendryx, E. (2018). Subset Selection and Feature Identification in the Electrocardiogram. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105686

Chicago Manual of Style (16th Edition):

Hendryx, Emily. “Subset Selection and Feature Identification in the Electrocardiogram.” 2018. Doctoral Dissertation, Rice University. Accessed June 25, 2019. http://hdl.handle.net/1911/105686.

MLA Handbook (7th Edition):

Hendryx, Emily. “Subset Selection and Feature Identification in the Electrocardiogram.” 2018. Web. 25 Jun 2019.

Vancouver:

Hendryx E. Subset Selection and Feature Identification in the Electrocardiogram. [Internet] [Doctoral dissertation]. Rice University; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1911/105686.

Council of Science Editors:

Hendryx E. Subset Selection and Feature Identification in the Electrocardiogram. [Doctoral Dissertation]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105686


De Montfort University

3. Ali, Isse. Analysing and predicting differences between methylated and unmethylated DNA sequence features.

Degree: PhD, 2015, De Montfort University

 DNA methylation is involved in various biological phenomena, and its dysregulation has been demonstrated as being correlated with a number of human disease processes, including… (more)

Subjects/Keywords: 572.8; DNA methylation prediction; CpG islands; DNA feature/pattern; Methylation gender differences; feature subset selection; imbalanced data modelling; ageing and DNA methylation; cancer and DNA methylation

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APA (6th Edition):

Ali, I. (2015). Analysing and predicting differences between methylated and unmethylated DNA sequence features. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/12616

Chicago Manual of Style (16th Edition):

Ali, Isse. “Analysing and predicting differences between methylated and unmethylated DNA sequence features.” 2015. Doctoral Dissertation, De Montfort University. Accessed June 25, 2019. http://hdl.handle.net/2086/12616.

MLA Handbook (7th Edition):

Ali, Isse. “Analysing and predicting differences between methylated and unmethylated DNA sequence features.” 2015. Web. 25 Jun 2019.

Vancouver:

Ali I. Analysing and predicting differences between methylated and unmethylated DNA sequence features. [Internet] [Doctoral dissertation]. De Montfort University; 2015. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2086/12616.

Council of Science Editors:

Ali I. Analysing and predicting differences between methylated and unmethylated DNA sequence features. [Doctoral Dissertation]. De Montfort University; 2015. Available from: http://hdl.handle.net/2086/12616


Texas A&M University

4. Tracy, James L. Random Subset Feature Selection for Ecological Niche Modeling of Wildfire Activity and the Monarch Butterfly.

Degree: PhD, Entomology, 2018, Texas A&M University

 Correlative ecological niche models (ENMs) are essential for investigating distributions of species and natural phenomena via environmental correlates across broad fields, including entomology and pyrogeography… (more)

Subjects/Keywords: Random Feature Selection; Feature Subset Ensemble; Species Distribution Model; Pyrogeography; Danaus plexippus; Migratory Niche Model; Kernel Density Estimation Migratory Model; Insect Roadkill Niche Model

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APA (6th Edition):

Tracy, J. L. (2018). Random Subset Feature Selection for Ecological Niche Modeling of Wildfire Activity and the Monarch Butterfly. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174342

Chicago Manual of Style (16th Edition):

Tracy, James L. “Random Subset Feature Selection for Ecological Niche Modeling of Wildfire Activity and the Monarch Butterfly.” 2018. Doctoral Dissertation, Texas A&M University. Accessed June 25, 2019. http://hdl.handle.net/1969.1/174342.

MLA Handbook (7th Edition):

Tracy, James L. “Random Subset Feature Selection for Ecological Niche Modeling of Wildfire Activity and the Monarch Butterfly.” 2018. Web. 25 Jun 2019.

Vancouver:

Tracy JL. Random Subset Feature Selection for Ecological Niche Modeling of Wildfire Activity and the Monarch Butterfly. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1969.1/174342.

Council of Science Editors:

Tracy JL. Random Subset Feature Selection for Ecological Niche Modeling of Wildfire Activity and the Monarch Butterfly. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174342


Université Catholique de Louvain

5. Chang, Chia-Tche. Heuristic optimization methods for three matrix problems.

Degree: 2012, Université Catholique de Louvain

Optimization is a major field in applied mathematics. Many applications involve the search of the best solution to a problem according to some criterion. Depending… (more)

Subjects/Keywords: Heuristics; Metaheuristics; Feature selection; Dynamical system; Switching system; Genetic algorithm; Optimization; Algorithmics; Oriented bounding box; Subset selection; Joint spectral radius; Computational methods; Experimental analysis; Computational geometry

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APA (6th Edition):

Chang, C. (2012). Heuristic optimization methods for three matrix problems. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/120115

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):

Chang, Chia-Tche. “Heuristic optimization methods for three matrix problems.” 2012. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/120115.

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

MLA Handbook (7th Edition):

Chang, Chia-Tche. “Heuristic optimization methods for three matrix problems.” 2012. Web. 25 Jun 2019.

Vancouver:

Chang C. Heuristic optimization methods for three matrix problems. [Internet] [Thesis]. Université Catholique de Louvain; 2012. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/120115.

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

Council of Science Editors:

Chang C. Heuristic optimization methods for three matrix problems. [Thesis]. Université Catholique de Louvain; 2012. Available from: http://hdl.handle.net/2078.1/120115

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


University of Cincinnati

6. Dong, Ming. A New Measure of Classifiability and its Applications.

Degree: PhD, Engineering : Electrical Engineering, 2001, University of Cincinnati

 Characterizing the difficulty of a pattern classification problem is an open and challenging problem in machine learning. While some progress has been made in understanding… (more)

Subjects/Keywords: pattern recognition and classification; classifiability; Bayes Error; decision tree; feature subset selection

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

APA (6th Edition):

Dong, M. (2001). A New Measure of Classifiability and its Applications. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1003516324

Chicago Manual of Style (16th Edition):

Dong, Ming. “A New Measure of Classifiability and its Applications.” 2001. Doctoral Dissertation, University of Cincinnati. Accessed June 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1003516324.

MLA Handbook (7th Edition):

Dong, Ming. “A New Measure of Classifiability and its Applications.” 2001. Web. 25 Jun 2019.

Vancouver:

Dong M. A New Measure of Classifiability and its Applications. [Internet] [Doctoral dissertation]. University of Cincinnati; 2001. [cited 2019 Jun 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1003516324.

Council of Science Editors:

Dong M. A New Measure of Classifiability and its Applications. [Doctoral Dissertation]. University of Cincinnati; 2001. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1003516324


Unitec New Zealand

7. Ho, Trung Minh. Evaluating spammer detection systems for Twitter.

Degree: 2017, Unitec New Zealand

 Twitter is a popular Social Network Service. It is a web application with dual roles of online social network and microblogging. Users use Twitter to… (more)

Subjects/Keywords: Twitter; spam detection; spam drift; optimisation subset of features; evaluation workbench; feature selection; machine learning; 080303 Computer System Security; 080109 Pattern Recognition and Data Mining

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APA (6th Edition):

Ho, T. M. (2017). Evaluating spammer detection systems for Twitter. (Thesis). Unitec New Zealand. Retrieved from http://hdl.handle.net/10652/4525

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):

Ho, Trung Minh. “Evaluating spammer detection systems for Twitter.” 2017. Thesis, Unitec New Zealand. Accessed June 25, 2019. http://hdl.handle.net/10652/4525.

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

MLA Handbook (7th Edition):

Ho, Trung Minh. “Evaluating spammer detection systems for Twitter.” 2017. Web. 25 Jun 2019.

Vancouver:

Ho TM. Evaluating spammer detection systems for Twitter. [Internet] [Thesis]. Unitec New Zealand; 2017. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10652/4525.

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

Council of Science Editors:

Ho TM. Evaluating spammer detection systems for Twitter. [Thesis]. Unitec New Zealand; 2017. Available from: http://hdl.handle.net/10652/4525

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


Queens University

8. Taati, Babak. Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces .

Degree: Electrical and Computer Engineering, 2009, Queens University

 We formulate Local Shape Descriptor selection for model-based object recognition in range data as an optimization problem and offer a platform that facilitates a solution.… (more)

Subjects/Keywords: Computer vision; Range data; Object recognition; Tracking; Local shape descriptor; Point matching; Pose estimation; Pose acquisition; 3-D; 3D; Point cloud; Satellite tracking; Optimization; Range image processing; Range image; RANSAC; Registration; Alignment; Surface; Computational geometry; Detection; Localization; Model-based; Object identification; Point correspondence; Feature selection; Variable-Dimensional Local Shape Descriptors; VD-LSD; LSD; Genetic algorithm; Simulated annealing; Forward feature selection; Multivariate features; Subset selection; Local properties; LIDAR; Dense stereo; Stereo; Precision; Feature matching; Machine learning; Training; Learning phase; Preprocessing

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

APA (6th Edition):

Taati, B. (2009). Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/5107

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):

Taati, Babak. “Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces .” 2009. Thesis, Queens University. Accessed June 25, 2019. http://hdl.handle.net/1974/5107.

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

MLA Handbook (7th Edition):

Taati, Babak. “Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces .” 2009. Web. 25 Jun 2019.

Vancouver:

Taati B. Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces . [Internet] [Thesis]. Queens University; 2009. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1974/5107.

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

Council of Science Editors:

Taati B. Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces . [Thesis]. Queens University; 2009. Available from: http://hdl.handle.net/1974/5107

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

9. Ferreira, Ednaldo José. "Abordagem genética para seleção de um conjunto reduzido de características para construção de ensembles de redes neurais: aplicação à língua eletrônica".

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2005, University of São Paulo

As características irrelevantes, presentes em bases de dados de diversos domínios, deterioram a acurácia de predição de classificadores induzidos por algoritmos de aprendizado de máquina.… (more)

Subjects/Keywords: algoritmo genético; ensemble; ensemble; feature subset selection; genetic algorithm; neural networks; redes neurais artificiais; seleção de características

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APA (6th Edition):

Ferreira, E. J. (2005). "Abordagem genética para seleção de um conjunto reduzido de características para construção de ensembles de redes neurais: aplicação à língua eletrônica". (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18052006-143603/ ;

Chicago Manual of Style (16th Edition):

Ferreira, Ednaldo José. “"Abordagem genética para seleção de um conjunto reduzido de características para construção de ensembles de redes neurais: aplicação à língua eletrônica".” 2005. Masters Thesis, University of São Paulo. Accessed June 25, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18052006-143603/ ;.

MLA Handbook (7th Edition):

Ferreira, Ednaldo José. “"Abordagem genética para seleção de um conjunto reduzido de características para construção de ensembles de redes neurais: aplicação à língua eletrônica".” 2005. Web. 25 Jun 2019.

Vancouver:

Ferreira EJ. "Abordagem genética para seleção de um conjunto reduzido de características para construção de ensembles de redes neurais: aplicação à língua eletrônica". [Internet] [Masters thesis]. University of São Paulo; 2005. [cited 2019 Jun 25]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18052006-143603/ ;.

Council of Science Editors:

Ferreira EJ. "Abordagem genética para seleção de um conjunto reduzido de características para construção de ensembles de redes neurais: aplicação à língua eletrônica". [Masters Thesis]. University of São Paulo; 2005. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18052006-143603/ ;

10. Pila, Adriano Donizete. Seleção de atributos relevantes para aprendizado de máquina utilizando a abordagem de Rough Sets.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2001, University of São Paulo

No Aprendizado de Máquina Supervisionado – AM – o algoritmo de indução trabalha com um conjunto de exemplos de treinamento, no qual cada exemplo é constituído de… (more)

Subjects/Keywords: aprendizado de máquina; feature subset selection; machine learning; rough sets; seleção automática de atributos

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APA (6th Edition):

Pila, A. D. (2001). Seleção de atributos relevantes para aprendizado de máquina utilizando a abordagem de Rough Sets. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-13022002-153921/ ;

Chicago Manual of Style (16th Edition):

Pila, Adriano Donizete. “Seleção de atributos relevantes para aprendizado de máquina utilizando a abordagem de Rough Sets.” 2001. Masters Thesis, University of São Paulo. Accessed June 25, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-13022002-153921/ ;.

MLA Handbook (7th Edition):

Pila, Adriano Donizete. “Seleção de atributos relevantes para aprendizado de máquina utilizando a abordagem de Rough Sets.” 2001. Web. 25 Jun 2019.

Vancouver:

Pila AD. Seleção de atributos relevantes para aprendizado de máquina utilizando a abordagem de Rough Sets. [Internet] [Masters thesis]. University of São Paulo; 2001. [cited 2019 Jun 25]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-13022002-153921/ ;.

Council of Science Editors:

Pila AD. Seleção de atributos relevantes para aprendizado de máquina utilizando a abordagem de Rough Sets. [Masters Thesis]. University of São Paulo; 2001. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-13022002-153921/ ;

11. Sigweni, Boyce B. An investigation of feature weighting algorithms and validation techniques using blind analysis for analogy-based estimation.

Degree: PhD, 2016, Brunel University

 Context: Software effort estimation is a very important component of the software development life cycle. It underpins activities such as planning, maintenance and bidding. Therefore,… (more)

Subjects/Keywords: 005.1; Feature subset selection; Software effort estimation; Case-based reasoning; Researcher bias; Cross-validation approaches

…3.1 The filter approach for feature subset selection . . . . . . . . . . . . . . . . . 43… …Thesis Chapter 1 still NP-hard, is feature subset selection where features are assigned… …less daunting approach, although still NP-hard, is feature subset selection where features… …are assigned weights of {0, 1}. Until recently feature subset selection has been… …feature weighting tend to outperform feature subset selection methods [153]. This is… 

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

APA (6th Edition):

Sigweni, B. B. (2016). An investigation of feature weighting algorithms and validation techniques using blind analysis for analogy-based estimation. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/12797 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687658

Chicago Manual of Style (16th Edition):

Sigweni, Boyce B. “An investigation of feature weighting algorithms and validation techniques using blind analysis for analogy-based estimation.” 2016. Doctoral Dissertation, Brunel University. Accessed June 25, 2019. http://bura.brunel.ac.uk/handle/2438/12797 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687658.

MLA Handbook (7th Edition):

Sigweni, Boyce B. “An investigation of feature weighting algorithms and validation techniques using blind analysis for analogy-based estimation.” 2016. Web. 25 Jun 2019.

Vancouver:

Sigweni BB. An investigation of feature weighting algorithms and validation techniques using blind analysis for analogy-based estimation. [Internet] [Doctoral dissertation]. Brunel University; 2016. [cited 2019 Jun 25]. Available from: http://bura.brunel.ac.uk/handle/2438/12797 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687658.

Council of Science Editors:

Sigweni BB. An investigation of feature weighting algorithms and validation techniques using blind analysis for analogy-based estimation. [Doctoral Dissertation]. Brunel University; 2016. Available from: http://bura.brunel.ac.uk/handle/2438/12797 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687658

.