Statistical learning theory - PDFSEARCH.IO - Document Search Engine

Statistical learning theory
Results: 800

#	Item
141	Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PAUSA Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-09-04 13:43:12 Statistics Statistical classification Statistical theory Probability Ensemble learning K-nearest neighbors algorithm Prior probability Monte Carlo method
142	Journal of Abnormal Psychology 2003, Vol. 112, No. 3, 457– 468 Copyright 2003 by the American Psychological Association, Inc843X/03/$12.00 DOI: 843X Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English Statistics Psychiatry Hypothesis testing Statistical theory Psychosis Design of experiments Machine learning Psychiatric diagnosis Schizotypy Cluster analysis Type I and type II errors Statistical power
143	Regularized estimation of image statistics by Score Matching Diederik P. Kingma Department of Information and Computing Sciences Universiteit Utrecht Add to Reading List Source URL: dpkingma.com Language: English - Date: 2013-03-10 05:45:50 Machine learning Statistical models Signal processing Statistical theory Estimation theory Maximum likelihood estimation Artificial neural network Independent component analysis Pattern recognition Mixture model
144	Gaussian Processes for Machine Learning Add to Reading List Source URL: www.gaussianprocess.org Language: English Mathematical analysis Statistical theory Probability theory Normal distribution Single-equation methods Stable distributions Estimation theory Geostatistics Gaussian process Kriging Linear regression Bayesian linear regression
145	LOWER BOUNDS ON LEARNING RANDOM STRUCTURES WITH STATISTICAL QUERIES 1 Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2010-10-08 08:44:26 Computational learning theory Machine learning Theoretical computer science Probably approximately correct learning Error Tolerance
146	Gene regulatory network inference using sparse probabilistic models Evelina Gabaˇsov´a Supervisor: David Barber Add to Reading List Source URL: s3-eu-west-1.amazonaws.com Language: English - Date: 2015-03-31 02:56:40 Statistics Econometrics Estimation theory Networks Statistical methods Regression analysis Linear regression Gene regulatory network Bayesian network Least squares Machine learning Lasso
147	1 some context and an introduction to my ﬁeld 2 Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2012-01-20 18:12:52 Machine learning Learning Computational learning theory Limit of a function Cognition Theoretical computer science Cognitive science Statistical classification
148	INFORMS MATHEMATICS OF OPERATIONS RESEARCH Vol. 00, No. 0, Xxxxx 0000, pp. 000–000 issn 0364-765X \| eissn \| 00 \| 0000 \| 0001 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-03 20:28:24 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Stochastic simulation Loss function Bayes estimator Reinforcement learning Sampling Posterior probability Confidence interval
149	Lecture Notes on Online Learning DRAFT Alexander Rakhlin —– These lecture notes contain material presented in the Statistical Learning Theory course at UC Berkeley, Spring’08. Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2010-04-10 16:56:09 Machine learning Learning Analysis Artificial intelligence Mathematical analysis Inverse problems Statistical classification Convex optimization Support vector machine Mathematical optimization Regularization Statistical learning theory
150	Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits Yasin Abbasi-Yadkori Dept. of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-02-08 11:48:18 Econometrics Machine learning Statistical theory Probability distributions Online machine learning Loss function Big O notation Sample complexity Confidence interval Normal distribution Matrix Algorithm

UPDATE