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Statistics and Computer Science
Results: 1736

#	Item
131	Parametric Herding Yutian Chen Max Welling Bren School of Information and Computer Science University of California, Irvine Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2010-03-16 13:28:39 Machine learning Econometrics M-estimators Regression analysis Mixture model Maximum likelihood Boltzmann machine Expectation–maximization algorithm Vector quantization Statistics Estimation theory Statistical theory
132	A Distributed Message Passing Algorithm for Sensor Localization Max Welling and Joseph J. Lim Bren School of Information and Computer Science UC Irvine, CA, USA {welling, josephjl}@ics.uci.edu Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-06-14 04:41:24 Normal distribution Variance Von Mises distribution Belief propagation Image noise Gamma distribution Mean squared error Wireless sensor network Statistics Probability theory Estimation theory
133	Deep Belief Networks for phone recognition Abdel-rahman Mohamed, George Dahl, and Geoffrey Hinton Department of Computer Science University of Toronto {asamir,gdahl,hinton}@cs.toronto.edu Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2009-11-25 20:25:23 Science Boltzmann machine Speech recognition Backpropagation Hidden Markov model Feedforward neural network Pattern recognition Markov chain DBN Neural networks Statistics Machine learning
134	A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation Max Welling Dept. of Computer Science University of California, Irvine Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-06-25 13:47:59 Discrete mathematics Probability and statistics Cumulant Belief propagation Mathematics
135	Distributed and Adaptive Darting Monte Carlo through Regenerations Sungjin Ahn Department of Computer Science University of California, Irvine Irvine, CA, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-04-11 10:50:54 Markov models Markov chain Monte Carlo Computational statistics Markov processes Markov chain Metropolis–Hastings algorithm Rejection sampling Mixture model Random walk Statistics Probability and statistics Monte Carlo methods
136	A Binary Factor Graph Model for Biclustering Matteo Denitto, Alessandro Farinelli, Giuditta Franco, and Manuele Bicego University of Verona, Department of Computer Science, Verona, Italy Abstract. Biclustering, which can Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2015-06-16 09:42:08 Multivariate statistics Biclustering Bioinformatics Data analysis Belief propagation Matrix Logical matrix Linear programming Graph partition Statistics Mathematics Cluster analysis
137	Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:49:35 Theoretical computer science Probability Graphical models Statistical models Bayesian statistics Conditional random field Discriminative model Generative model Markov random field Statistics Machine learning Probability and statistics
138	72 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 24, Add to Reading List Source URL: leitang.net Language: English - Date: 2012-01-01 18:43:30 Science Structure Sociology Complex systems theory Social information processing Social network Cluster analysis Complex network Computer network Network theory Networks Statistics
139	DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification Simon Lacoste-Julien Computer Science Division UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-01-10 00:13:43 Statistical classification Statistical models Information retrieval Latent Dirichlet allocation Linear discriminant analysis Probabilistic latent semantic analysis Mixture model Topic model Maximum likelihood Statistics Statistical natural language processing Machine learning
140	Representativity Indicators for Survey Quality Indicators and data collection control Work plan and preliminary findings – Pilot Statistics Netherlands Work package 7, Deliverable 8.2 Add to Reading List Source URL: www.risq-project.eu Language: English - Date: 2010-01-11 02:36:58 Science Evaluation methods Research methods Sampling Methodology Response rate Computer-assisted telephone interviewing Questionnaire Statistics Survey methodology Data collection

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