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You searched for subject:(predictive inference). Showing records 1 – 25 of 25 total matches.

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Texas A&M University

1. Knight, Jason Matthew. Optimal Model-Based Approaches for Predictive Inference in Biology.

Degree: 2015, Texas A&M University

Predictive modeling of the dynamic, multivariate, non-linear, stochastic systems of biology is a difficult enterprise. High throughput measurement techniques are enabling new approaches to computational… (more)

Subjects/Keywords: computational biology; predictive inference; statistical modeling; bioinformatics

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APA (6th Edition):

Knight, J. M. (2015). Optimal Model-Based Approaches for Predictive Inference in Biology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155131

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):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Thesis, Texas A&M University. Accessed October 17, 2019. http://hdl.handle.net/1969.1/155131.

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

MLA Handbook (7th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Web. 17 Oct 2019.

Vancouver:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1969.1/155131.

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

Council of Science Editors:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155131

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


Cornell University

2. Radecki, Peter. Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles .

Degree: 2016, Cornell University

 Probabilistic inference and reasoning is applied to two major application areas: HVAC controls in buildings and autonomous vehicle perception. Although the physical domains differ vastly,… (more)

Subjects/Keywords: Kalman Filter; Probabilistic Inference; Model Predictive Control

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APA (6th Edition):

Radecki, P. (2016). Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/44364

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):

Radecki, Peter. “Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles .” 2016. Thesis, Cornell University. Accessed October 17, 2019. http://hdl.handle.net/1813/44364.

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

MLA Handbook (7th Edition):

Radecki, Peter. “Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles .” 2016. Web. 17 Oct 2019.

Vancouver:

Radecki P. Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles . [Internet] [Thesis]. Cornell University; 2016. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1813/44364.

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

Council of Science Editors:

Radecki P. Applied Probabilistic Inference: Model Estimation For Hvac Predictive Controls And All-Weather Perception For Autonomous Vehicles . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/44364

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

3. MCCOURT, ANGELA. Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference.

Degree: School of Computer Science & Statistics. Discipline of Statistics, 2019, Trinity College Dublin

 The way in which we learn is the subject of considerable research within multiple disciplines. There is also a vast amount of on-line material available… (more)

Subjects/Keywords: Nonparametric Predictive Inference; Imprecise Probabilities; Recommender Systems

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APA (6th Edition):

MCCOURT, A. (2019). Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/86620

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):

MCCOURT, ANGELA. “Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference.” 2019. Thesis, Trinity College Dublin. Accessed October 17, 2019. http://hdl.handle.net/2262/86620.

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

MLA Handbook (7th Edition):

MCCOURT, ANGELA. “Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference.” 2019. Web. 17 Oct 2019.

Vancouver:

MCCOURT A. Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference. [Internet] [Thesis]. Trinity College Dublin; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2262/86620.

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

Council of Science Editors:

MCCOURT A. Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference. [Thesis]. Trinity College Dublin; 2019. Available from: http://hdl.handle.net/2262/86620

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


University of Edinburgh

4. Araya, Jose Manuel. Emotion and predictive processing : emotions as perceptions?.

Degree: PhD, 2018, University of Edinburgh

 In this Thesis, I systematize, clarify, and expand the current theory of emotion based on the principles of predictive processing-the interoceptive inference view of emotion-so… (more)

Subjects/Keywords: predictive processing; emotion theory; interoceptive inference; anticipation; action; interoceptive inference theory of valence; interoceptive inference view of emotion; IIe; ITV; perception

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APA (6th Edition):

Araya, J. M. (2018). Emotion and predictive processing : emotions as perceptions?. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/33156

Chicago Manual of Style (16th Edition):

Araya, Jose Manuel. “Emotion and predictive processing : emotions as perceptions?.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed October 17, 2019. http://hdl.handle.net/1842/33156.

MLA Handbook (7th Edition):

Araya, Jose Manuel. “Emotion and predictive processing : emotions as perceptions?.” 2018. Web. 17 Oct 2019.

Vancouver:

Araya JM. Emotion and predictive processing : emotions as perceptions?. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1842/33156.

Council of Science Editors:

Araya JM. Emotion and predictive processing : emotions as perceptions?. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/33156


Université de Sherbrooke

5. Yadegari, Iraj. Prédiction, inférence sélective et quelques problèmes connexes .

Degree: 2017, Université de Sherbrooke

 Nous étudions le problème de l'estimation de moyenne et de la densité prédictive d'une population sélectionnée, en obtenant de nouveaux développements qui incluent l'analyse de… (more)

Subjects/Keywords: Selective inference; Predictive density estimation; Estimation after selection

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APA (6th Edition):

Yadegari, I. (2017). Prédiction, inférence sélective et quelques problèmes connexes . (Doctoral Dissertation). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/10167

Chicago Manual of Style (16th Edition):

Yadegari, Iraj. “Prédiction, inférence sélective et quelques problèmes connexes .” 2017. Doctoral Dissertation, Université de Sherbrooke. Accessed October 17, 2019. http://hdl.handle.net/11143/10167.

MLA Handbook (7th Edition):

Yadegari, Iraj. “Prédiction, inférence sélective et quelques problèmes connexes .” 2017. Web. 17 Oct 2019.

Vancouver:

Yadegari I. Prédiction, inférence sélective et quelques problèmes connexes . [Internet] [Doctoral dissertation]. Université de Sherbrooke; 2017. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11143/10167.

Council of Science Editors:

Yadegari I. Prédiction, inférence sélective et quelques problèmes connexes . [Doctoral Dissertation]. Université de Sherbrooke; 2017. Available from: http://hdl.handle.net/11143/10167


Depaul University

6. Motyka Joss, Laura S. Predictive inference generation in the cerebral hemispheres: An investigation of time course and reader goals.

Degree: Psychology, 2010, Depaul University

 During reading, individuals activate information that is not explicitly stated to make connections (i.e., inferences) about what is occurring in a text. Readers often make… (more)

Subjects/Keywords: cerebral hemisphere; reading goals; predictive inference; right hemisphere; time course

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APA (6th Edition):

Motyka Joss, L. S. (2010). Predictive inference generation in the cerebral hemispheres: An investigation of time course and reader goals. (Thesis). Depaul University. Retrieved from http://via.library.depaul.edu/etd/23

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):

Motyka Joss, Laura S. “Predictive inference generation in the cerebral hemispheres: An investigation of time course and reader goals.” 2010. Thesis, Depaul University. Accessed October 17, 2019. http://via.library.depaul.edu/etd/23.

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

MLA Handbook (7th Edition):

Motyka Joss, Laura S. “Predictive inference generation in the cerebral hemispheres: An investigation of time course and reader goals.” 2010. Web. 17 Oct 2019.

Vancouver:

Motyka Joss LS. Predictive inference generation in the cerebral hemispheres: An investigation of time course and reader goals. [Internet] [Thesis]. Depaul University; 2010. [cited 2019 Oct 17]. Available from: http://via.library.depaul.edu/etd/23.

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

Council of Science Editors:

Motyka Joss LS. Predictive inference generation in the cerebral hemispheres: An investigation of time course and reader goals. [Thesis]. Depaul University; 2010. Available from: http://via.library.depaul.edu/etd/23

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


University of Connecticut

7. Lally, Nathan R. The Informative g-Prior vs. Common Reference Priors for Binomial Regression With an Application to Hurricane Electrical Utility Asset Damage Prediction.

Degree: MS, Mathematics, 2015, University of Connecticut

  Eliciting appropriate prior information from experts for a statistical model is no easy task. Expressing this information in terms of hyperparameters of prior distributions… (more)

Subjects/Keywords: Statistics; Probability; Bayesian; Inference; Spatial; Predictive; Hurricane; Infrastructure; Machine Learning; MCMC

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APA (6th Edition):

Lally, N. R. (2015). The Informative g-Prior vs. Common Reference Priors for Binomial Regression With an Application to Hurricane Electrical Utility Asset Damage Prediction. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/813

Chicago Manual of Style (16th Edition):

Lally, Nathan R. “The Informative g-Prior vs. Common Reference Priors for Binomial Regression With an Application to Hurricane Electrical Utility Asset Damage Prediction.” 2015. Masters Thesis, University of Connecticut. Accessed October 17, 2019. https://opencommons.uconn.edu/gs_theses/813.

MLA Handbook (7th Edition):

Lally, Nathan R. “The Informative g-Prior vs. Common Reference Priors for Binomial Regression With an Application to Hurricane Electrical Utility Asset Damage Prediction.” 2015. Web. 17 Oct 2019.

Vancouver:

Lally NR. The Informative g-Prior vs. Common Reference Priors for Binomial Regression With an Application to Hurricane Electrical Utility Asset Damage Prediction. [Internet] [Masters thesis]. University of Connecticut; 2015. [cited 2019 Oct 17]. Available from: https://opencommons.uconn.edu/gs_theses/813.

Council of Science Editors:

Lally NR. The Informative g-Prior vs. Common Reference Priors for Binomial Regression With an Application to Hurricane Electrical Utility Asset Damage Prediction. [Masters Thesis]. University of Connecticut; 2015. Available from: https://opencommons.uconn.edu/gs_theses/813

8. Nguyên, Tri Long. Inférence causale, modélisation prédictive et décision médicale. : Causal inference, predictive modeling and medical decision-making.

Degree: Docteur es, Biostatistique, 2016, Montpellier

La prise de décision médicale se définit par le choix du traitement de la maladie, dans l’attente d’un résultat probable tentant de maximiser les bénéfices… (more)

Subjects/Keywords: Modèle prédictif; Inférence causale; Décision médicale; Predictive modeling; Causal inference; Medical decision-Making

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APA (6th Edition):

Nguyên, T. L. (2016). Inférence causale, modélisation prédictive et décision médicale. : Causal inference, predictive modeling and medical decision-making. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2016MONTT028

Chicago Manual of Style (16th Edition):

Nguyên, Tri Long. “Inférence causale, modélisation prédictive et décision médicale. : Causal inference, predictive modeling and medical decision-making.” 2016. Doctoral Dissertation, Montpellier. Accessed October 17, 2019. http://www.theses.fr/2016MONTT028.

MLA Handbook (7th Edition):

Nguyên, Tri Long. “Inférence causale, modélisation prédictive et décision médicale. : Causal inference, predictive modeling and medical decision-making.” 2016. Web. 17 Oct 2019.

Vancouver:

Nguyên TL. Inférence causale, modélisation prédictive et décision médicale. : Causal inference, predictive modeling and medical decision-making. [Internet] [Doctoral dissertation]. Montpellier; 2016. [cited 2019 Oct 17]. Available from: http://www.theses.fr/2016MONTT028.

Council of Science Editors:

Nguyên TL. Inférence causale, modélisation prédictive et décision médicale. : Causal inference, predictive modeling and medical decision-making. [Doctoral Dissertation]. Montpellier; 2016. Available from: http://www.theses.fr/2016MONTT028


Duquesne University

9. Papke, Sarah. A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling.

Degree: MS, Computational Mathematics, 2017, Duquesne University

  Several problems arise when attempting to use traditional predictive modeling techniques on ‘big data.’ For instance, multiple linear regression models cannot be used on… (more)

Subjects/Keywords: Dimension Reduction; Partial Least Squares; Penalized Regression; Predictive Modeling; Regression; Selective Inference

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APA (6th Edition):

Papke, S. (2017). A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/182

Chicago Manual of Style (16th Edition):

Papke, Sarah. “A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling.” 2017. Masters Thesis, Duquesne University. Accessed October 17, 2019. https://dsc.duq.edu/etd/182.

MLA Handbook (7th Edition):

Papke, Sarah. “A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling.” 2017. Web. 17 Oct 2019.

Vancouver:

Papke S. A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling. [Internet] [Masters thesis]. Duquesne University; 2017. [cited 2019 Oct 17]. Available from: https://dsc.duq.edu/etd/182.

Council of Science Editors:

Papke S. A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling. [Masters Thesis]. Duquesne University; 2017. Available from: https://dsc.duq.edu/etd/182


University of Newcastle

10. Frost, Jade D. First impressions bias sound sequence learning on multiple timescales: an order-driven phenomenon in auditory mismatch negativity.

Degree: PhD, 2018, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Humans are prone to systematic biases in perception that impact rationality in judgement. First impression bias occurs when… (more)

Subjects/Keywords: first impressions; ERP; primacy bias; MMN; EEG; learning; perceptual inference; predictive coding; thesis by publication

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APA (6th Edition):

Frost, J. D. (2018). First impressions bias sound sequence learning on multiple timescales: an order-driven phenomenon in auditory mismatch negativity. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1387378

Chicago Manual of Style (16th Edition):

Frost, Jade D. “First impressions bias sound sequence learning on multiple timescales: an order-driven phenomenon in auditory mismatch negativity.” 2018. Doctoral Dissertation, University of Newcastle. Accessed October 17, 2019. http://hdl.handle.net/1959.13/1387378.

MLA Handbook (7th Edition):

Frost, Jade D. “First impressions bias sound sequence learning on multiple timescales: an order-driven phenomenon in auditory mismatch negativity.” 2018. Web. 17 Oct 2019.

Vancouver:

Frost JD. First impressions bias sound sequence learning on multiple timescales: an order-driven phenomenon in auditory mismatch negativity. [Internet] [Doctoral dissertation]. University of Newcastle; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1959.13/1387378.

Council of Science Editors:

Frost JD. First impressions bias sound sequence learning on multiple timescales: an order-driven phenomenon in auditory mismatch negativity. [Doctoral Dissertation]. University of Newcastle; 2018. Available from: http://hdl.handle.net/1959.13/1387378

11. Violante, Francesco. Essays on Multivariate Volatility Forecasting.

Degree: 2010, DIAL (Belgium)

 Chapter 1 surveys the most important developments in volatility forecast comparison and model selection, in both the univariate and multivariate frameworks. The chapter reviews a… (more)

Subjects/Keywords: Multivariate GARCH; Volatility forecast evaluation; Model confidence set; Superior predictive ability; Consistent ranking; Multivariate GARCH diffusion; Quasi-approximated inference

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APA (6th Edition):

Violante, F. (2010). Essays on Multivariate Volatility Forecasting. (Thesis). DIAL (Belgium). Retrieved from http://hdl.handle.net/2078.2/73478

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):

Violante, Francesco. “Essays on Multivariate Volatility Forecasting.” 2010. Thesis, DIAL (Belgium). Accessed October 17, 2019. http://hdl.handle.net/2078.2/73478.

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

MLA Handbook (7th Edition):

Violante, Francesco. “Essays on Multivariate Volatility Forecasting.” 2010. Web. 17 Oct 2019.

Vancouver:

Violante F. Essays on Multivariate Volatility Forecasting. [Internet] [Thesis]. DIAL (Belgium); 2010. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2078.2/73478.

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

Council of Science Editors:

Violante F. Essays on Multivariate Volatility Forecasting. [Thesis]. DIAL (Belgium); 2010. Available from: http://hdl.handle.net/2078.2/73478

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

12. Quattrone, Anthony. Inferring sensitive information from seemingly innocuous smartphone data.

Degree: 2016, University of Melbourne

 Smartphones have become ubiquitous and provide considerable benefits for users. Personal data considered both sensitive and non-sensitive is commonly stored on smartphones. It has been… (more)

Subjects/Keywords: Smartphones; Smartphone Privacy; Smartphone Analytics; Inference Attacks; Location Privacy; Spatial Databases; Data Mining; Localization; Predictive Modeling; Private Smartphones

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APA (6th Edition):

Quattrone, A. (2016). Inferring sensitive information from seemingly innocuous smartphone data. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/129167

Chicago Manual of Style (16th Edition):

Quattrone, Anthony. “Inferring sensitive information from seemingly innocuous smartphone data.” 2016. Doctoral Dissertation, University of Melbourne. Accessed October 17, 2019. http://hdl.handle.net/11343/129167.

MLA Handbook (7th Edition):

Quattrone, Anthony. “Inferring sensitive information from seemingly innocuous smartphone data.” 2016. Web. 17 Oct 2019.

Vancouver:

Quattrone A. Inferring sensitive information from seemingly innocuous smartphone data. [Internet] [Doctoral dissertation]. University of Melbourne; 2016. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11343/129167.

Council of Science Editors:

Quattrone A. Inferring sensitive information from seemingly innocuous smartphone data. [Doctoral Dissertation]. University of Melbourne; 2016. Available from: http://hdl.handle.net/11343/129167


University of Southern California

13. Block, Jeffrey Solomon. Spread global, start local: modeling endemic socio-spatial influence networks.

Degree: MS, Geographic Information Science and Technology, 2015, University of Southern California

 The importance of social media-borne influence has been demonstrated in dramatic fashion on a global stage, with examples ranging from the regime toppling Arab Spring… (more)

Subjects/Keywords: social media; social network; latent variable model; socio-spatial; influence analysis; influence networks; network inference; predictive analysis

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APA (6th Edition):

Block, J. S. (2015). Spread global, start local: modeling endemic socio-spatial influence networks. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/633750/rec/6014

Chicago Manual of Style (16th Edition):

Block, Jeffrey Solomon. “Spread global, start local: modeling endemic socio-spatial influence networks.” 2015. Masters Thesis, University of Southern California. Accessed October 17, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/633750/rec/6014.

MLA Handbook (7th Edition):

Block, Jeffrey Solomon. “Spread global, start local: modeling endemic socio-spatial influence networks.” 2015. Web. 17 Oct 2019.

Vancouver:

Block JS. Spread global, start local: modeling endemic socio-spatial influence networks. [Internet] [Masters thesis]. University of Southern California; 2015. [cited 2019 Oct 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/633750/rec/6014.

Council of Science Editors:

Block JS. Spread global, start local: modeling endemic socio-spatial influence networks. [Masters Thesis]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/633750/rec/6014


AUT University

14. Hwang, Yuan-Chun. Local and personalised models for prediction, classification and knowledge discovery on real world data modelling problems .

Degree: 2009, AUT University

 This thesis presents several novel methods to address some of the real world data modelling issues through the use of local and individualised modelling approaches.… (more)

Subjects/Keywords: Local model; Personalised model; Predictive systems; Real world; Fuzzy inference system

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APA (6th Edition):

Hwang, Y. (2009). Local and personalised models for prediction, classification and knowledge discovery on real world data modelling problems . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/776

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):

Hwang, Yuan-Chun. “Local and personalised models for prediction, classification and knowledge discovery on real world data modelling problems .” 2009. Thesis, AUT University. Accessed October 17, 2019. http://hdl.handle.net/10292/776.

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

MLA Handbook (7th Edition):

Hwang, Yuan-Chun. “Local and personalised models for prediction, classification and knowledge discovery on real world data modelling problems .” 2009. Web. 17 Oct 2019.

Vancouver:

Hwang Y. Local and personalised models for prediction, classification and knowledge discovery on real world data modelling problems . [Internet] [Thesis]. AUT University; 2009. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10292/776.

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

Council of Science Editors:

Hwang Y. Local and personalised models for prediction, classification and knowledge discovery on real world data modelling problems . [Thesis]. AUT University; 2009. Available from: http://hdl.handle.net/10292/776

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


University of Florida

15. Mckay, Jessica. Using a Knowledge-Based System to Test the Transferability of a Soil-Landscape Model in Northeastern Vermont.

Degree: MS, Soil and Water Science, 2008, University of Florida

 Knowledge-based digital soil mapping has been used extensively to predict soil taxonomic and physico-chemical soil characteristics. Fuzzy logic knowledge-based models allow explicit integration of knowledge… (more)

Subjects/Keywords: Calibration; Fringe; Inference; Landscapes; Modeling; Organic horizons; Predictive modeling; Soil properties; Soil science; Soils; digital, fuzzy, inference, knowledge, mapping, soil

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APA (6th Edition):

Mckay, J. (2008). Using a Knowledge-Based System to Test the Transferability of a Soil-Landscape Model in Northeastern Vermont. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0022712

Chicago Manual of Style (16th Edition):

Mckay, Jessica. “Using a Knowledge-Based System to Test the Transferability of a Soil-Landscape Model in Northeastern Vermont.” 2008. Masters Thesis, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0022712.

MLA Handbook (7th Edition):

Mckay, Jessica. “Using a Knowledge-Based System to Test the Transferability of a Soil-Landscape Model in Northeastern Vermont.” 2008. Web. 17 Oct 2019.

Vancouver:

Mckay J. Using a Knowledge-Based System to Test the Transferability of a Soil-Landscape Model in Northeastern Vermont. [Internet] [Masters thesis]. University of Florida; 2008. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0022712.

Council of Science Editors:

Mckay J. Using a Knowledge-Based System to Test the Transferability of a Soil-Landscape Model in Northeastern Vermont. [Masters Thesis]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0022712

16. Campi, Rodrigo Luz. Modelagem fuzzy da concentração dos gases dissolvidos em óleo mineral isolante de transformadores baseada em resultados de ensaios físico-químicos.

Degree: Mestrado, Sistemas Dinâmicos, 2014, University of São Paulo

O objetivo desse trabalho foi de fazer a modelagem por meio de sistemas de inferência fuzzy da concentração dos gases dissolvidos em óleo mineral isolante… (more)

Subjects/Keywords: Electric power systems; Identificação de falhas em transformadores; Identificação de sistemas; Inference fuzzy system; Insulating mineral oil; Manutenção preditiva; Óleo mineral isolante; Predictive maintenance; Sistemas de inferência fuzzy; Sistemas elétricos de potência; System identification; Transformer failures identification

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

APA (6th Edition):

Campi, R. L. (2014). Modelagem fuzzy da concentração dos gases dissolvidos em óleo mineral isolante de transformadores baseada em resultados de ensaios físico-químicos. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18153/tde-07032014-143351/ ;

Chicago Manual of Style (16th Edition):

Campi, Rodrigo Luz. “Modelagem fuzzy da concentração dos gases dissolvidos em óleo mineral isolante de transformadores baseada em resultados de ensaios físico-químicos.” 2014. Masters Thesis, University of São Paulo. Accessed October 17, 2019. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-07032014-143351/ ;.

MLA Handbook (7th Edition):

Campi, Rodrigo Luz. “Modelagem fuzzy da concentração dos gases dissolvidos em óleo mineral isolante de transformadores baseada em resultados de ensaios físico-químicos.” 2014. Web. 17 Oct 2019.

Vancouver:

Campi RL. Modelagem fuzzy da concentração dos gases dissolvidos em óleo mineral isolante de transformadores baseada em resultados de ensaios físico-químicos. [Internet] [Masters thesis]. University of São Paulo; 2014. [cited 2019 Oct 17]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18153/tde-07032014-143351/ ;.

Council of Science Editors:

Campi RL. Modelagem fuzzy da concentração dos gases dissolvidos em óleo mineral isolante de transformadores baseada em resultados de ensaios físico-químicos. [Masters Thesis]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/18/18153/tde-07032014-143351/ ;


Cranfield University

17. Cho, B. Control of a hybrid electric vehicle with predictive journey estimation.

Degree: PhD, 2008, Cranfield University

 Battery energy management plays a crucial role in fuel economy improvement of charge-sustaining parallel hybrid electric vehicles. Currently available control strategies consider battery state of… (more)

Subjects/Keywords: 629.2; Fuel economy; Online predictive control; Dynamic programming; Adaptive-network-based fuzzy inference system; Software-in-the-loop co-simulation

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

APA (6th Edition):

Cho, B. (2008). Control of a hybrid electric vehicle with predictive journey estimation. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/2589 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484700

Chicago Manual of Style (16th Edition):

Cho, B. “Control of a hybrid electric vehicle with predictive journey estimation.” 2008. Doctoral Dissertation, Cranfield University. Accessed October 17, 2019. http://dspace.lib.cranfield.ac.uk/handle/1826/2589 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484700.

MLA Handbook (7th Edition):

Cho, B. “Control of a hybrid electric vehicle with predictive journey estimation.” 2008. Web. 17 Oct 2019.

Vancouver:

Cho B. Control of a hybrid electric vehicle with predictive journey estimation. [Internet] [Doctoral dissertation]. Cranfield University; 2008. [cited 2019 Oct 17]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/2589 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484700.

Council of Science Editors:

Cho B. Control of a hybrid electric vehicle with predictive journey estimation. [Doctoral Dissertation]. Cranfield University; 2008. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/2589 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484700


Cranfield University

18. Cho, B. Control of a hybrid electric vehicle with predictive journey estimation.

Degree: PhD, 2008, Cranfield University

 Battery energy management plays a crucial role in fuel economy improvement of charge-sustaining parallel hybrid electric vehicles. Currently available control strategies consider battery state of… (more)

Subjects/Keywords: Fuel economy; Online predictive control; Dynamic programming; Adaptive-network-based fuzzy inference system; Software-in-the-loop co-simulation

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

APA (6th Edition):

Cho, B. (2008). Control of a hybrid electric vehicle with predictive journey estimation. (Doctoral Dissertation). Cranfield University. Retrieved from http://hdl.handle.net/1826/2589

Chicago Manual of Style (16th Edition):

Cho, B. “Control of a hybrid electric vehicle with predictive journey estimation.” 2008. Doctoral Dissertation, Cranfield University. Accessed October 17, 2019. http://hdl.handle.net/1826/2589.

MLA Handbook (7th Edition):

Cho, B. “Control of a hybrid electric vehicle with predictive journey estimation.” 2008. Web. 17 Oct 2019.

Vancouver:

Cho B. Control of a hybrid electric vehicle with predictive journey estimation. [Internet] [Doctoral dissertation]. Cranfield University; 2008. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1826/2589.

Council of Science Editors:

Cho B. Control of a hybrid electric vehicle with predictive journey estimation. [Doctoral Dissertation]. Cranfield University; 2008. Available from: http://hdl.handle.net/1826/2589

19. Schouwstra, J. Estimating Long-Term Uncertainties of Economic Variables:.

Degree: 2014, Delft University of Technology

Subjects/Keywords: Long-Term Uncertainties; Economic Variables; Fourier Series; Low Frequency; Bayesian Inference; Predictive Intervals

…high-frequency sample variation may lead to faulty low-frequency inference, see [16]… …Nonetheless, we will only lay our focus on Bayesian inference to generate prediction intervals of a… …prediction interval. 5.1 Bayesian Inference The foundation for Bayesian inference is Bayes… …5.2. Predictive Distribution where P(X) = P θ P(X|θ)P(θ)… …X|θ)P(θ) 5.2 Predictive Distribution After the data X have been observed… 

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APA (6th Edition):

Schouwstra, J. (2014). Estimating Long-Term Uncertainties of Economic Variables:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f2723dd7-d3f4-4ee0-a59c-3394562c4150

Chicago Manual of Style (16th Edition):

Schouwstra, J. “Estimating Long-Term Uncertainties of Economic Variables:.” 2014. Masters Thesis, Delft University of Technology. Accessed October 17, 2019. http://resolver.tudelft.nl/uuid:f2723dd7-d3f4-4ee0-a59c-3394562c4150.

MLA Handbook (7th Edition):

Schouwstra, J. “Estimating Long-Term Uncertainties of Economic Variables:.” 2014. Web. 17 Oct 2019.

Vancouver:

Schouwstra J. Estimating Long-Term Uncertainties of Economic Variables:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2019 Oct 17]. Available from: http://resolver.tudelft.nl/uuid:f2723dd7-d3f4-4ee0-a59c-3394562c4150.

Council of Science Editors:

Schouwstra J. Estimating Long-Term Uncertainties of Economic Variables:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:f2723dd7-d3f4-4ee0-a59c-3394562c4150


University of Otago

20. Blanchette, Glenn Clifford. The Boltzmann Machine: a Connectionist Model for Supra-Classical Logic .

Degree: University of Otago

 This thesis moves towards reconciliation of two of the major paradigms of artificial intelligence: by exploring the representation of symbolic logic in an artificial neural… (more)

Subjects/Keywords: Boltzmann machine; supra-classical non-monotonic logic; knowledge representation; typicality; belief revision; cognition; predictive inference; neural networks; Hebbian learning; simulated annealing

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

APA (6th Edition):

Blanchette, G. C. (n.d.). The Boltzmann Machine: a Connectionist Model for Supra-Classical Logic . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/8312

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Blanchette, Glenn Clifford. “The Boltzmann Machine: a Connectionist Model for Supra-Classical Logic .” Doctoral Dissertation, University of Otago. Accessed October 17, 2019. http://hdl.handle.net/10523/8312.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Blanchette, Glenn Clifford. “The Boltzmann Machine: a Connectionist Model for Supra-Classical Logic .” Web. 17 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Blanchette GC. The Boltzmann Machine: a Connectionist Model for Supra-Classical Logic . [Internet] [Doctoral dissertation]. University of Otago; [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10523/8312.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Blanchette GC. The Boltzmann Machine: a Connectionist Model for Supra-Classical Logic . [Doctoral Dissertation]. University of Otago; Available from: http://hdl.handle.net/10523/8312

Note: this citation may be lacking information needed for this citation format:
No year of publication.

21. Lopez, Léo. Brain-inspired predictive control of robotic sensorimotor systems : Contrôle prédictif neuro-inspiré de systèmes robotiques sensori-moteurs.

Degree: Docteur es, Electronique et Systèmes, 2017, Clermont Auvergne; Università degli studi La Sapienza (Rome)

Résumé indisponible.

Résumé indisponible.

Advisors/Committee Members: Mezouar, Youcef (thesis director), Pezzulo, Giovanni (thesis director).

Subjects/Keywords: Inférence active; Robotique; Codage prédictif; Filtrage bayésien; Active inference; Manipulation robotics; Predictive coding; Bayesian filtering; Navigation

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APA (6th Edition):

Lopez, L. (2017). Brain-inspired predictive control of robotic sensorimotor systems : Contrôle prédictif neuro-inspiré de systèmes robotiques sensori-moteurs. (Doctoral Dissertation). Clermont Auvergne; Università degli studi La Sapienza (Rome). Retrieved from http://www.theses.fr/2017CLFAC106

Chicago Manual of Style (16th Edition):

Lopez, Léo. “Brain-inspired predictive control of robotic sensorimotor systems : Contrôle prédictif neuro-inspiré de systèmes robotiques sensori-moteurs.” 2017. Doctoral Dissertation, Clermont Auvergne; Università degli studi La Sapienza (Rome). Accessed October 17, 2019. http://www.theses.fr/2017CLFAC106.

MLA Handbook (7th Edition):

Lopez, Léo. “Brain-inspired predictive control of robotic sensorimotor systems : Contrôle prédictif neuro-inspiré de systèmes robotiques sensori-moteurs.” 2017. Web. 17 Oct 2019.

Vancouver:

Lopez L. Brain-inspired predictive control of robotic sensorimotor systems : Contrôle prédictif neuro-inspiré de systèmes robotiques sensori-moteurs. [Internet] [Doctoral dissertation]. Clermont Auvergne; Università degli studi La Sapienza (Rome); 2017. [cited 2019 Oct 17]. Available from: http://www.theses.fr/2017CLFAC106.

Council of Science Editors:

Lopez L. Brain-inspired predictive control of robotic sensorimotor systems : Contrôle prédictif neuro-inspiré de systèmes robotiques sensori-moteurs. [Doctoral Dissertation]. Clermont Auvergne; Università degli studi La Sapienza (Rome); 2017. Available from: http://www.theses.fr/2017CLFAC106

22. Froufé Torres, Manuel. Efectos de la valencia y la dirección causal en el procesamiento de inferencias emocionales durante la lectura: Evidencia mediante una tarea de decisión léxica.

Degree: 2018, Servicio de Publicaciones de la Universidad de Murcia

Subjects/Keywords: Emotional inferences; Emotional valence; Causal direction; Lexical decision task; Explanatory inference; Predictive inference; Inferencias emocionales; Valencia emocional; Tarea de decisión léxica; Inferencia explicativa; Inferencia predictiva; Dirección causal; Psicología

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APA (6th Edition):

Froufé Torres, M. (2018). Efectos de la valencia y la dirección causal en el procesamiento de inferencias emocionales durante la lectura: Evidencia mediante una tarea de decisión léxica. (Thesis). Servicio de Publicaciones de la Universidad de Murcia. Retrieved from http://hdl.handle.net/10486/670924

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):

Froufé Torres, Manuel. “Efectos de la valencia y la dirección causal en el procesamiento de inferencias emocionales durante la lectura: Evidencia mediante una tarea de decisión léxica.” 2018. Thesis, Servicio de Publicaciones de la Universidad de Murcia. Accessed October 17, 2019. http://hdl.handle.net/10486/670924.

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

MLA Handbook (7th Edition):

Froufé Torres, Manuel. “Efectos de la valencia y la dirección causal en el procesamiento de inferencias emocionales durante la lectura: Evidencia mediante una tarea de decisión léxica.” 2018. Web. 17 Oct 2019.

Vancouver:

Froufé Torres M. Efectos de la valencia y la dirección causal en el procesamiento de inferencias emocionales durante la lectura: Evidencia mediante una tarea de decisión léxica. [Internet] [Thesis]. Servicio de Publicaciones de la Universidad de Murcia; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10486/670924.

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

Council of Science Editors:

Froufé Torres M. Efectos de la valencia y la dirección causal en el procesamiento de inferencias emocionales durante la lectura: Evidencia mediante una tarea de decisión léxica. [Thesis]. Servicio de Publicaciones de la Universidad de Murcia; 2018. Available from: http://hdl.handle.net/10486/670924

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

23. Frank, Laurence Emmanuelle. Feature network models for proximity data: statistical inference, model selection, network representations and links with related models.

Degree: 2006, Department of Psychology, Faculty of Social and Behavioural Sciences, Leiden University

 Feature Network Models (FNM) are graphical structures that represent proximity data in a discrete space with the use of features. A statistical inference theory is… (more)

Subjects/Keywords: Additive clustering; Additive tree; City-block model; Distinctive features model; Gray codes; Network representation; Partial isometry; Predictive subset selection; Positive lasso; Statistical inference under inequality constraints; Additive clustering; Additive tree; City-block model; Distinctive features model; Gray codes; Network representation; Partial isometry; Predictive subset selection; Positive lasso; Statistical inference under inequality constraints

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APA (6th Edition):

Frank, L. E. (2006). Feature network models for proximity data: statistical inference, model selection, network representations and links with related models. (Doctoral Dissertation). Department of Psychology, Faculty of Social and Behavioural Sciences, Leiden University. Retrieved from http://hdl.handle.net/1887/4560

Chicago Manual of Style (16th Edition):

Frank, Laurence Emmanuelle. “Feature network models for proximity data: statistical inference, model selection, network representations and links with related models.” 2006. Doctoral Dissertation, Department of Psychology, Faculty of Social and Behavioural Sciences, Leiden University. Accessed October 17, 2019. http://hdl.handle.net/1887/4560.

MLA Handbook (7th Edition):

Frank, Laurence Emmanuelle. “Feature network models for proximity data: statistical inference, model selection, network representations and links with related models.” 2006. Web. 17 Oct 2019.

Vancouver:

Frank LE. Feature network models for proximity data: statistical inference, model selection, network representations and links with related models. [Internet] [Doctoral dissertation]. Department of Psychology, Faculty of Social and Behavioural Sciences, Leiden University; 2006. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1887/4560.

Council of Science Editors:

Frank LE. Feature network models for proximity data: statistical inference, model selection, network representations and links with related models. [Doctoral Dissertation]. Department of Psychology, Faculty of Social and Behavioural Sciences, Leiden University; 2006. Available from: http://hdl.handle.net/1887/4560

24. Ghahramani, Zoubin. A Probabilistic Model for Dirty Multi-task Feature Selection.

Degree: 2018, International Machine Learning Society (IMLS)

Subjects/Keywords: Artificial intelligence; Benchmarking; Learning systems; Statistics; Approximate inference; Expectation; Propagation; Feature selection methods; Latent variable; Learning tasks; Model-based OPC; Predictive performance; Probabilistic modeling; Feature extraction; Informática

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APA (6th Edition):

Ghahramani, Z. (2018). A Probabilistic Model for Dirty Multi-task Feature Selection. (Thesis). International Machine Learning Society (IMLS). Retrieved from http://hdl.handle.net/10486/674892

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):

Ghahramani, Zoubin. “A Probabilistic Model for Dirty Multi-task Feature Selection.” 2018. Thesis, International Machine Learning Society (IMLS). Accessed October 17, 2019. http://hdl.handle.net/10486/674892.

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

MLA Handbook (7th Edition):

Ghahramani, Zoubin. “A Probabilistic Model for Dirty Multi-task Feature Selection.” 2018. Web. 17 Oct 2019.

Vancouver:

Ghahramani Z. A Probabilistic Model for Dirty Multi-task Feature Selection. [Internet] [Thesis]. International Machine Learning Society (IMLS); 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10486/674892.

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

Council of Science Editors:

Ghahramani Z. A Probabilistic Model for Dirty Multi-task Feature Selection. [Thesis]. International Machine Learning Society (IMLS); 2018. Available from: http://hdl.handle.net/10486/674892

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


University of Newcastle

25. Tuyl, Frank Adrianus Wilhelmus Maria. Estimation of the Binomial parameter: in defence of Bayes (1763).

Degree: PhD, 2007, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Interval estimation of the Binomial parameter è, representing the true probability of a success, is a problem of… (more)

Subjects/Keywords: Bayesian inference; binomial distribution; relative risk; Rule of Three; zero events; prior families; posterior predictive; Bayes-Laplace prior; invariance; Jeffreys prior; noninformative prior; reference prior; uniform prior; highest posterior density; odds ratio

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

APA (6th Edition):

Tuyl, F. A. W. M. (2007). Estimation of the Binomial parameter: in defence of Bayes (1763). (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/25730

Chicago Manual of Style (16th Edition):

Tuyl, Frank Adrianus Wilhelmus Maria. “Estimation of the Binomial parameter: in defence of Bayes (1763).” 2007. Doctoral Dissertation, University of Newcastle. Accessed October 17, 2019. http://hdl.handle.net/1959.13/25730.

MLA Handbook (7th Edition):

Tuyl, Frank Adrianus Wilhelmus Maria. “Estimation of the Binomial parameter: in defence of Bayes (1763).” 2007. Web. 17 Oct 2019.

Vancouver:

Tuyl FAWM. Estimation of the Binomial parameter: in defence of Bayes (1763). [Internet] [Doctoral dissertation]. University of Newcastle; 2007. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1959.13/25730.

Council of Science Editors:

Tuyl FAWM. Estimation of the Binomial parameter: in defence of Bayes (1763). [Doctoral Dissertation]. University of Newcastle; 2007. Available from: http://hdl.handle.net/1959.13/25730

.