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Journal of Machine Learning Research
Results: 283

#	Item
231	Journal of Machine Learning Research[removed]2386 Submitted 8/08; Revised 8/09; Published 8/10 High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2010-09-05 23:01:46 Gaussian measure Linear regression Errors-in-variables models Normal distribution Statistics Econometrics Regression analysis
232	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
233	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
234	Journal of Machine Learning Research[removed]817 Submitted 8/09; Revised 11/10; Published 3/11 Information, Divergence and Risk for Binary Experiments Mark D. Reid Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-03-22 13:30:08 Functional analysis Symbol Dirac delta function Bregman divergence Distribution Interpretation Calculus of variations Explicit formula Μ operator Mathematical analysis Generalized functions Measure theory
235	Journal of Machine Learning Research[removed]Submitted 11/10; Published - Deterministic-Probabilistic Models For Partially Observable Reinforcement Learning Problems Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-11-25 21:48:41 Stochastic control Partially observable Markov decision process Reinforcement learning Bayesian statistics Markov model Markov decision process Automated planning and scheduling Algorithm Machine learning Statistics Dynamic programming Markov processes
236	Journal of Machine Learning Research[removed]2422 Submitted 12/09; Revised 6/10; Published 9/10 Composite Binary Losses Mark D. Reid∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-09-23 14:46:25 Bayes estimator Bayesian inference Loss function Statistics Econometrics Estimation theory
237	Journal of Artificial Intelligence Research[removed]704 Submitted 09/11; published[removed]Learning to Win by Reading Manuals in a Monte-Carlo Framework Add to Reading List Source URL: jair.org Language: English - Date: 2012-04-30 11:59:27 Monte Carlo method Numerical analysis Probabilistic complexity theory Reinforcement learning Markov decision process Algorithm Stochastic Machine learning Artificial intelligence Statistics Mathematics Probability and statistics
238	Journal of Machine Learning Research[removed]387 Submitted 5/10; Revised 8/11; Published 2/12 Bounding the Probability of Error for High Precision Optical Character Recognition Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-03-04 21:11:16 Linguistics Speech recognition Optical character recognition Automatic identification and data capture Unicode N-gram Microsoft Office Document Imaging Natural language processing Language model Computational linguistics Science Artificial intelligence
239	The Journal of Wildlife Management 75(3):558–568; 2011; DOI: [removed]jwmg.93 Research Article Comparison of Methods for Estimating Density of Forest Songbirds From Point Counts Add to Reading List Source URL: www.chjv.org Language: English - Date: 2013-10-28 15:05:45 Machine learning Transect Sampling Mixture model Cerulean Warbler Statistics Probability and statistics Fauna of South America
240	Journal of Machine Learning Research[removed]1332 Submitted 7/10; Revised 1/12; Published 5/12 Query Strategies for Evading Convex-Inducing Classifiers Blaine Nelson Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-05-03 15:18:52 Mathematical analysis Statistical classification Mathematical optimization Mathematical sciences Linear classifier Convex optimization Classifier Convex function Convex analysis Statistics Operations research

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