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Statistical algorithms
Results: 271

#	Item
181	Scaling Learning Algorithms towards AI Yoshua Bengio (1) and Yann LeCun[removed]removed] D´epartement d’Informatique et Recherche Op´erationnelle Universit´e de Montr´eal, (2) [removed] Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2007-08-24 18:19:32 Neural networks Computational neuroscience Statistical classification Supervised learning Kernel trick Kernel Support vector machine Perceptron Pattern recognition Machine learning Statistics Artificial intelligence
182	Graphical models and message-passing algorithms: Some introductory lectures Martin J. Wainwright 1 Introduction Graphical models provide a framework for describing statistical dependencies in Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-01-08 13:55:21 Probability and statistics Markov models Markov processes Bayesian statistics Statistical models Markov random field Markov chain Directed acyclic graph Markov property Statistics Graph theory Graphical models
183	Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching Martin J. Wainwright Dept. of EECS, UC Berkeley Berkeley, CA 94705 Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2002-11-19 01:50:14 M-estimators Maximum likelihood Statistical theory Entailment Fisher information Belief propagation Statistics Estimation theory Logic
184	Communication-Efficient Algorithms for Statistical Optimization 1 Yuchen Zhang1 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-11-14 05:54:22 M-estimator Parametric model Likelihood function Score Bootstrapping Stochastic approximation Loss function Big O notation Maximum likelihood Statistics Estimation theory Fisher information
185	Journal of Machine Learning Research[removed]1828 Submitted 6/08; Revised 2/09; Published 8/09 Distributed Algorithms for Topic Models David Newman Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-08-24 20:16:36 Topic model Mixture model Dirichlet process Linear discriminant analysis Gibbs sampling Parallel computing Dirichlet distribution Algorithm Multi-core processor Statistics Statistical natural language processing Latent Dirichlet allocation
186	Supplementary Material: The Asymptotics of Ranking Algorithms Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-11-26 20:49:37 Completeness Continuous function Local consistency Mathematics Knowledge Artificial intelligence Statistical theory Fisher consistency Constructible universe
187	Journal of Machine Learning Research[removed]3363 Submitted 3/13; Published[removed]Communication-Efficient Algorithms for Statistical Optimization Yuchen Zhang Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-12-09 15:15:53 Fisher information Bias of an estimator M-estimator Loss function Maximum likelihood Fisher consistency Statistics Estimation theory Statistical theory
188	Jean-Noël Thépaut Jean-Noël Thépaut is the Head of the Data Division, and Deputy Director of the Research Department at ECMWF. His group is in charge of the development of worldclass data assimilation algorithms for Add to Reading List Source URL: wwosc2014.org Language: English - Date: 2014-08-25 09:19:28 Statistical forecasting Control theory Data assimilation Estimation theory EUMETSAT Météo-France Jean-Noël European Centre for Medium-Range Weather Forecasts Atmospheric sciences Meteorology Weather prediction
189	review articles doi:[removed][removed]Surveying a suite of algorithms that offer a solution to managing large document archives. by David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-06-05 15:28:29 Topic model Latent Dirichlet allocation Dynamic topic model Probabilistic latent semantic analysis Document-term matrix Mixture model Pachinko allocation Information retrieval Dirichlet process Statistics Statistical natural language processing Probability and statistics
190	ERRATA: Foundations of Statistical Algorithms Claus Weihs, Olaf Mersmann & Uwe Ligges Department of Statistics TU Dortmund University, Germany February 19, 2014 Add to Reading List Source URL: www.statistik.tu-dortmund.de Language: English - Date: 2014-02-19 13:10:15 Large cardinals Differential geometry Regression analysis

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