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Statistical learning theory
Results: 800

#	Item
101	Calibrated Structured Prediction Percy Liang Department of Computer Science Stanford University Stanford, CA 94305 Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2015-10-31 00:27:55 Statistical classification Machine learning Bayesian statistics Marginal distribution Probability theory Expected value Joint probability distribution Platt scaling Support vector machine Conditional random field Mutual information Structured support vector machine
102	Active and Passive Statistical Learning: Exploring the Role of Feedback in Artificial Grammar Learning and Language Rick Dale () Morten H. Christiansen () Add to Reading List Source URL: cnl.psych.cornell.edu Language: English - Date: 2006-10-09 12:18:55 Language acquisition Educational psychology Learning Control theory Applied linguistics Artificial grammar learning Educational technology Feedback Implicit learning Perceptual learning Positive feedback
103	Learning in a multilateral bargaining experiment Add to Reading List Source URL: cess.nyu.edu Language: English - Date: 2009-09-28 07:26:54 Estimation theory Probability distributions Stable distributions Statistical theory Normal distribution Efficient estimator Parameter Estimator Statistics Expected value Covariance Multivariate normal distribution
104	Error Analysis of Background Adaption Xiang Gao, T.E. Boult EECS Department Lehigh Univ. [xig3 \| tboult]@eecs.lehigh.edu Add to Reading List Source URL: www.vast.uccs.edu Language: English - Date: 2005-11-27 17:27:09 Statistical models Machine learning Image processing Statistical theory Image segmentation Mixture model Background subtraction Receiver operating characteristic Expectationmaximization algorithm Markov chain Mathematical model Thresholding
105	Learning Minimal Latent Directed Information Trees Add to Reading List Source URL: coleman.ucsd.edu Language: English Graphical models Probability theory Statistical models Graph theory Markov random field Binary tree Graph
106	Microsoft Word - IBSNew_Trends_in_iTECH-final Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:46:12 Machine learning Statistical classification Actuarial science Formal sciences Statistical theory Risk Linear classifier Pattern recognition Statistics Expected value Loss function Value at risk
107	Dear GEMS users, Discussions with and feedback from GEMS users revealed to us that some users use the system for analysis of extremely small sample datasets. A good heuristic rule for defining extremely small Add to Reading List Source URL: www.gems-system.org Language: English - Date: 2005-10-21 16:55:14 Statistical inference Estimation theory Cross-validation Machine learning Model selection Statistics Estimator Variance Resampling
108	Microsoft Word - MSc in Applied Statisticsoutline.docx Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2016-02-12 07:15:48 Bayesian statistics Statistical inference Statistical models Estimation theory Computational statistics Bayesian network Coalescent theory Bayesian Markov chain Monte Carlo Particle filter Ensemble learning Deep learning
109	LEARNING HIDDEN VARIABLES IN PROBABILISTIC GRAPHICAL MODELS T HESIS SUBMITTED FOR THE DEGREE OF Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:23 Statistical models Bayesian network Graphical model Nir Friedman Hidden variable theory Causality Expectationmaximization algorithm Expected value Latent variable
110	EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2013-03-13 05:58:27 Machine learning Statistical classification Classifier chains Multi-label classification Pattern recognition Support vector machine Probabilistic classification Supervised learning Maximum a posteriori estimation Naive Bayes classifier Structured support vector machine

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