Statistical learning theory

Results: 800



#Item
241Operator theory / Matrix theory / Hilbert space / Abstract algebra / Singular value decomposition / Positive-definite kernel / Projection / Matrix / Eigenvalues and eigenvectors / Algebra / Mathematics / Linear algebra

Kernel Extrapolation S.V.N. Vishwanathan a Karsten M. Borgwardt b,∗ Omri Guttman a Alex Smola a a Statistical Machine Learning Program, National ICT Australia,

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Source URL: www.stat.purdue.edu

Language: English - Date: 2008-09-11 13:00:23
242Database theory / Statistical models / Database management systems / Machine learning / Statistical relational learning / Relational model / Bayesian probability / Naive Bayes classifier / Mammography / Statistics / Bayesian statistics / Data management

View Learning for Statistical Relational Learning: With an Application to Mammography Jesse Davis, Elizabeth Burnside, Inˆes Dutra, David Page, Raghu Ramakrishnan, V´ıtor Santos Costa, Jude Shavlik University of Wisco

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Source URL: pages.cs.wisc.edu

Language: English - Date: 2005-06-28 13:28:34
243Statistical inference / Model theory / Logic / Science / Inductive inference / Inductive reasoning / Inference

Learning from Streams Sanjay Jain?1 , Frank Stephan??2 and Nan Ye3 1 Department of Computer Science, National University of Singapore, Singapore, Republic of Singapore.

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2013-03-09 06:29:28
244Markov models / Linear filters / Decision theory / Econometrics / Loss function / Statistical theory / Kalman filter / Algorithm / Statistical classification / Statistics / Machine learning / Applied mathematics

An Online Learning-based Framework for Tracking Kamalika Chaudhuri Yoav Freund Daniel Hsu Computer Science and Engineering Computer Science and Engineering Computer Science and Engineering

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Source URL: cseweb.ucsd.edu

Language: English - Date: 2011-01-01 02:41:47
245Abstract algebra / Vector calculus / Statistical theory / Matrix theory / Vector space / Maximum likelihood / Euclidean vector / Matrix / Naive Bayes classifier / Algebra / Mathematics / Linear algebra

CS 224D: Deep Learning for NLP1 1 Lecture Notes: Part I2

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Source URL: cs224d.stanford.edu

Language: English - Date: 2015-05-02 14:21:27
246Statistical theory / Statistical inference / Machine learning / Normal distribution / Probability distribution / Mixture model / Bayesian inference / Conjugate prior / Prior probability / Statistics / Probability and statistics / Bayesian statistics

Infer.NET 101 A sample-based introduction to the basics of Microsoft Infer.NET programming Version 1.1 – SeptemberAbstract

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Source URL: research.microsoft.com

Language: English - Date: 2014-10-27 09:26:54
247Ensemble learning / Learning / Neural networks / Perceptron / Computational learning theory / Boosting / Generalization error / Bootstrap aggregating / Statistical classification / Machine learning / Artificial intelligence / Computational statistics

Complements to ‘Pattern Recognition and Neural Networks’ by B.D. Ripley Cambridge University Press, 1996, ISBN

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Source URL: www.stats.ox.ac.uk

Language: English - Date: 1997-04-20 05:18:14
248Decision theory / Secretary problem / Statistical hypothesis testing / Statistics / Psychometrics / Design of experiments

Learning near-optimal search in a minimal explore/exploit task Ke Sang (), Peter M. Todd (pmtodd), Robert L. Goldstone (rgoldsto) Cognitive Science Program and Department of Psychological and Brain Scie

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Source URL: cognitrn.psych.indiana.edu

Language: English - Date: 2013-11-19 12:04:28
249Information theory / Cybernetics / Statistical inference / Gibbs sampling / Entropy / Estimation theory / Sequence labeling / Statistics / Machine learning / Statistical theory

Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion Nguyen Viet Cuong Wee Sun Lee Nan Ye Department of Computer Science

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2014-05-28 05:12:50
250Statistical theory / Entropy / Pointwise / Integral / Matroid / Mathematics / Submodular set function / Information theory

Near-optimal Adaptive Pool-based Active Learning with General Loss Nguyen Viet Cuong Department of Computer Science National University of Singapore

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2014-08-21 11:01:30
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