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Statistical learning theory
Results: 800

#	Item
701	Unsupervised Transfer Classification: Application to Text Categorization Tianbao Yang, Rong Jin, Anil K. Jain, Yang Zhou, Wei Tong Department of Computer Science and Engineering Michigan State University, East Lansing, M Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2010-05-21 10:45:42 Statistical theory Formal sciences Information theory Bayesian statistics Pattern recognition Principle of maximum entropy Support vector machine Entropy Supervised learning Statistics Machine learning Probability and statistics
702	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 3, MARCH 2002 Add to Reading List Source URL: dataclustering.cse.msu.edu Language: English - Date: 2009-04-06 13:55:30 Statistical theory Data analysis Multivariate statistics Expectation–maximization algorithm Mixture model K-means clustering Mixture distribution Maximum likelihood Principal component analysis Statistics Estimation theory Machine learning
703	Bayesian Spatial Modeling of Data from Avian Point Count Surveys Raymond A. W EBSTER , Kenneth H. P OLLOCK, and Theodore R. S IMONS We present a unified framework for modeling bird survey data collected at spatially rep Add to Reading List Source URL: www4.ncsu.edu Language: English - Date: 2008-06-06 11:09:57 Statistical theory Statistical models Estimation theory Cluster analysis Machine learning Mixture model Maximum likelihood Markov chain Statistics Information Science
704	TRAX is an Initial Training Networks (ITN) research project sponsored by the EU under the Marie Curie actions in the 7th Framework Program. TRAX concentrates on Tracking in Complex Sensor Systems, focussing on complexiti Add to Reading List Source URL: www.isif.org Language: English - Date: 2013-10-02 14:16:59 Bayesian statistics Bayesian inference Statistical forecasting Statistical inference Statistical theory Xsens Surveillance Monte Carlo method Machine learning Statistics Probability and statistics Science
705	Deep Mixtures of Factor Analysers Yichuan Tang [removed] Ruslan Salakhutdinov [removed] Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-09-17 19:48:33 Machine learning Data analysis Multivariate statistics Expectation–maximization algorithm Mixture model Principal component analysis Maximum likelihood Independent component analysis Supervised learning Statistics Statistical models Estimation theory
706	ARTICLE Communicated by Yoshua Bengio An Efficient Learning Procedure for Deep Boltzmann Machines Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-09-17 19:59:36 Statistical theory Neural networks Statistical models Boltzmann machine Bayesian statistics Markov chain Maximum likelihood Generative model Ludwig Boltzmann Statistics Estimation theory Probability and statistics
707	Asymptotically Exact, Embarrassingly Parallel MCMC Willie Neiswanger∗ , Chong Wang† , and Eric Xing‡ arXiv:1311.4780v1 [stat.ML] 19 Nov[removed]Machine Learning Department, Carnegie Mellon University Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-11-19 20:27:52 Statistical inference Econometrics Computational statistics Estimator Fisher information Asymptotic theory Bias of an estimator Normal distribution Markov chain Monte Carlo Statistics Estimation theory Statistical theory
708	Sample-Based Information-Theoretic Stochastic Optimal Control Rudolf Lioutikov1 and Alexandros Paraschos1 and Jan Peters1,2 and Gerhard Neumann1 Abstract— Many Stochastic Optimal Control (SOC) approaches rely on sample Add to Reading List Source URL: www.ias.tu-darmstadt.de Language: English - Date: 2014-03-05 05:21:13 Control theory Statistical theory Systems theory Markov models Estimation theory Trajectory optimization Reinforcement learning Optimal control Maximum likelihood Mathematical optimization Statistics Operations research
709	Machine Learning in an Auction Environment Patrick Hummel R. Preston McAfee Google Inc. Add to Reading List Source URL: vita.mcafee.cc Language: English - Date: 2013-10-14 12:32:20 Econometrics Loss function Estimation theory Statistics Statistical theory Decision theory
710	Journal of Machine Learning Research[removed]980 Submitted 4/11; Revised 5/13; Published 3/14 Natural Evolution Strategies Daan Wierstra Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-03-21 14:11:50 Stochastic optimization Statistical theory Statistical models Natural evolution strategy Fisher information Maximum likelihood CMA-ES Normal distribution Mixture model Statistics Estimation theory Evolutionary algorithms

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