Statistical learning theory

Results: 800



#Item
471Statistical theory / Categorical data / Regression analysis / Maximum likelihood / Feature selection / Logistic regression / Likelihood function / Gibbs sampling / Expectation–maximization algorithm / Statistics / Estimation theory / M-estimators

On Learning Discrete Graphical Models Using Greedy Methods Christopher C. Johnson University of Texas at Asutin [removed]

Add to Reading List

Source URL: www.cs.utexas.edu

Language: English - Date: 2011-10-28 19:06:37
472Statistical theory / Estimation theory / Computer vision / One-shot learning / Bayesian statistics / Caltech 101 / Constellation model / Supervised learning / Bayesian inference / Statistics / Artificial intelligence / Machine learning

Knowledge transfer in learning to recognize visual objects classes Li Fei-Fei Electrical and Computer Engineering Dept. & Beckman Institute University of Illinois Urbana-Champaign (UIUC) [removed]

Add to Reading List

Source URL: vision.stanford.edu

Language: English - Date: 2009-05-16 21:55:53
473Statistical classification / Linear algebra / Abstract algebra / Computational learning theory / Operator theory / Support vector machine / Vector space / Margin classifier / Space / Algebra / Mathematics / Statistics

Vol2_05Spring†Q‘oŠÍŠp.PDF

Add to Reading List

Source URL: www.nec.com

Language: English - Date: 2013-10-21 08:29:52
474Statistical models / Graphical models / Statistical theory / Maximum likelihood / Markov random field / Logistic regression / Fisher information / Likelihood function / Graphical models for protein structure / Statistics / Estimation theory / Bayesian statistics

On Learning Discrete Graphical Models using Group-Sparse Regularization Ali Jalali ECE, UT Austin [removed]

Add to Reading List

Source URL: www.cs.utexas.edu

Language: English - Date: 2011-04-08 11:45:11
475Educational psychology / Attention-deficit hyperactivity disorder / Medicine / Learning disabilities / Attention / Attention deficit hyperactivity disorder / Diagnostic and Statistical Manual of Mental Disorders / Evaluation / Social construct theory of ADHD / Psychiatry / Childhood psychiatric disorders / Education

DOC Document

Add to Reading List

Source URL: www.pearsonvue.com

Language: English - Date: 2012-08-20 10:49:25
476Semantics / California Institute of Technology / Caltech 101 / One-shot learning / Semantic similarity / Support vector machine / Prototype theory / K-nearest neighbor algorithm / Statistics / Artificial intelligence / Statistical classification

Large-Scale Category Structure Aware Image Categorization Bin Zhao School of Computer Science Carnegie Mellon University

Add to Reading List

Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:18:48
477Estimation theory / Concept learning / Learning theory / Probability / Bayesian inference / Likelihood function / Statistical power / Scientific method / Statistics / Bayesian statistics / Machine learning

doi:[removed]j.neucom[removed]

Add to Reading List

Source URL: www.jonathandnelson.com

Language: English - Date: 2009-06-17 07:13:08
478Markov models / Bayesian network / Networks / Markov chain / Conjugate prior / Gamma distribution / Exponential family / Bayesian inference / Sufficient statistic / Statistics / Bayesian statistics / Statistical theory

Learning Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed]

Add to Reading List

Source URL: ai.stanford.edu

Language: English - Date: 2005-05-18 16:00:10
479Machine learning / Expectation–maximization algorithm / Missing data / Statistical models / Maximum likelihood / Mixture model / Likelihood-ratio test / Logarithm / Supervised learning / Statistics / Estimation theory / Statistical theory

FITTING A MIXTURE MODEL BY EXPECTATION MAXIMIZATION TO DISCOVER MOTIFS IN BIOPOLYMERS UCSD Technical Report CS94-351 TIMOTHY L. BAILEY

Add to Reading List

Source URL: www.sdsc.edu

Language: English - Date: 2005-04-20 01:49:51
480Mathematical logic / Statistical theory / M-estimators / Econometrics / Statistical classification / Maximum likelihood / Loss function / Entailment / Support vector machine / Statistics / Estimation theory / Logic

Large Margin Learning of Upstream Scene Understanding Models † Jun Zhu†

Add to Reading List

Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:29:34
UPDATE