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Statistical learning theory
Results: 800

#	Item
491	Zero-Shot Learning by Convex Combination of Semantic Embeddings arXiv:1312.5650v3 [cs.LG] 21 Mar[removed]Mohammad Norouzi∗, Tomas Mikolov, Samy Bengio, Yoram Singer, Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-03-24 23:33:51 Machine learning Category theory Differential topology Embedding General topology Order theory One-shot learning Statistical classification Continuously embedded Mathematics Topology Mathematical analysis
492	Stochastic Backpropagation and Approximate Inference in Deep Generative Models arXiv:1401.4082v3 [stat.ML] 30 May[removed]Danilo J. Rezende, Shakir Mohamed, Daan Wierstra Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-06-01 20:20:02 Bayesian statistics Machine learning Statistical theory Variational Bayesian methods Backpropagation Gaussian process Bayesian network Perceptron Generative model Statistics Neural networks Statistical models
493	To Appear in Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (SRL-2004), Banff, Canada, July 2004 Relational Markov Networks for Collective Information Extract Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2004-05-08 02:43:11 Networks Bayesian statistics Statistical models Probability theory Bayesian network Belief propagation Information extraction Markov random field Clique Graph theory Mathematics Graphical models
494	Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PA[removed]USA Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-09-04 13:43:12 Statistical models Bayesian statistics Statistical theory Generative model Maximum likelihood Likelihood function Ensemble learning Statistics Estimation theory Machine learning
495	Learning Tractable Word Alignment Models with Complex Constraints João V. Graça∗ 2 L F INESC-ID Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-04-28 17:51:54 Bayesian statistics Information theory Kullback–Leibler divergence Thermodynamics Expectation–maximization algorithm Maximum likelihood Principle of maximum entropy Entropy Divergence Statistics Statistical theory Estimation theory
496	On Bayesian Networks and Partial Orders Pekka Parviainen University of Helsinki [removed] Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-11-10 02:20:14 Statistical theory Networks Bayesian network Directed acyclic graph Bayesian inference Partially ordered set Machine learning Statistics Bayesian statistics Graphical models
497	Learning Thin Junction Trees via Graph Cuts Dafna Shahaf Anton Chechetka Carlos Guestrin Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:05 Graph operations Bayesian statistics Statistical models Tree decomposition Markov random field Bayesian network Separator Clique Randomized algorithm Graph theory Graphical models Networks
498	Draft: June 7, 2013 Rational learners and non-utilitarian rules* Shaun Nichols University of Arizona Add to Reading List Source URL: www.affective-sciences.org Language: English - Date: 2015-02-14 13:41:57 Philosophy of science Statistical theory Social philosophy Bayesian statistics Morality Concept learning Bayesian inference Utilitarianism Statistical inference Statistics Science Knowledge
499	No More Pesky Learning Rates Tom Schaul Sixin Zhang Yann LeCun Courant Institute of Mathematical Sciences Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2013-06-04 12:26:23 Computational statistics Neural networks Statistical theory Econometrics Fisher information Stochastic gradient descent Loss function Perceptron Yann LeCun Statistics Machine learning Estimation theory
500	Human Behavior Modeling with Maximum Entropy Inverse Optimal Control Brian D. Ziebart, Andrew Maas, J.Andrew Bagnell, and Anind K. Dey School of Computer Science Carnegie Mellon University Pittsburgh, PA[removed]bziebart@c Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-07-28 15:01:21 Bayesian statistics Graphical models Statistical models Markov models Markov chain Reinforcement learning Bayesian network Markov decision process Maximum likelihood Statistics Probability and statistics Statistical theory

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