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Markov networks
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#	Item
31	A Tensor Spectral Approach to Learning Mixed Membership Community Models arXiv:1302.2684v4 [cs.LG] 24 OctAnima Anandkumar1 , Rong Ge2 , Daniel Hsu3 , and Sham M. Kakade3 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-27 21:56:48 Networks Graph theory Probability distributions Machine learning Statistical models Community structure Dirichlet distribution Higher-order singular value decomposition Stochastic block model Gibbs sampling Markov chain Tensor
32	A Cooperative Model for Multi-Class Peer-to-Peer Streaming Networks Pablo Romero1 , Mar´ıa Elisa Bertinat, Dar´ıo Padula, Pablo Rodr´ıguez-Bocca and Franco Robledo Amoza 2 2 Laboratorio de Probabilidad y Estad´ı Add to Reading List Source URL: goalbit-solutions.com Language: English - Date: 2016-02-19 12:52:30 BitTorrent File sharing Peer-to-peer Cross-platform software Distributed data storage Markov chain Fluid queue Goalbit Ono Social peer-to-peer processes
33	Journal of Machine Learning Research2140 Submitted 3/09; Revised 6/10; Published 8/10 Importance Sampling for Continuous Time Bayesian Networks Yu Fan Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:14 Markov models Probability distributions Graphical models Monte Carlo methods Stochastic simulation Bayesian network Markov chain Importance sampling Gibbs sampling Exponential distribution Cumulative distribution function Variance
34	UNIVERSITY OF CALIFORNIA RIVERSIDE Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2016-03-21 12:22:45 Stochastic processes Graphical models Markov processes Bayesian network Networks Uniformization Probability distribution Algorithm Statistical inference Approximate inference Statistics Matrix
35	HMM based Viterbi paths for rejection correction in a convolutional neural network classifier Hubert Cecotti, Szilard Vajda and Abdel Bela¨ıd READ Group LORIA/CNRS Campus Scientifique BPVandoeuvre-les-Nancy Add to Reading List Source URL: www.dsi.unifi.it Language: English - Date: 2009-12-17 04:49:47 Markov models Computational neuroscience Artificial neural networks Dynamic programming Error detection and correction Viterbi algorithm Speech recognition Hidden Markov model Convolutional neural network Pattern recognition Handwriting recognition MNIST database
36	Autonomous Fault Detection in Self-Healing Systems: Comparing Hidden Markov Models and Artificial Neural Networks Chris Schneider University of St Andrews Add to Reading List Source URL: www.adambarker.org Language: English - Date: 2014-01-30 12:05:49 Markov models Network management Artificial intelligence Systems engineering Windows Management Instrumentation Autonomic computing Fault detection and isolation Fault injection BaumWelch algorithm Hidden Markov model
37	Can the Computer Learn to Play Music Expressively? Christopher Raphael Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA, Add to Reading List Source URL: music.informatics.indiana.edu Language: English - Date: 2000-11-10 09:32:54 Graphical models Statistical models Bayesian network Networks Normal distribution Hidden Markov model
38	Nonparametric Multi-group Membership Model for Dynamic Networks Jure Leskovec Stanford University Stanford, CA 94305 Add to Reading List Source URL: i.stanford.edu Language: English - Date: 2014-02-08 04:56:54 Network theory Networks Markov models Graph theory Bioinformatics Evolving networks Time-varying network Markov chain Hidden Markov model Local World Evolving Network Models Network science
39	PHYSICAL REVIEW E 80, 036119 共2009兲 Exact encounter times for many random walkers on regular and complex networks David P. Sanders* Departamento de Física, Facultad de Ciencias, and Centro de Ciencias de la Complej Add to Reading List Source URL: sistemas.fciencias.unam.mx Language: English - Date: 2011-03-31 15:04:54 Stochastic processes Random walk Probability current Markov chain
40	Language Understanding for Text-based Games using Deep Reinforcement Learning Karthik Narasimhan∗ CSAIL, MIT Add to Reading List Source URL: www.emnlp2015.org Language: English - Date: 2015-09-04 01:25:56 Artificial neural networks Computational neuroscience Cybernetics Belief revision Reinforcement learning Recurrent neural network Q-learning Long short-term memory DQN Markov decision process Sepp Hochreiter Artificial intelligence

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