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Markov networks
Results: 388

#	Item
51	On the Relationship between Sum-Product Networks and Bayesian Networks Han Zhao HAN . ZHAO @ UWATERLOO . CA Mazen Melibari MMELIBAR @ UWATERLOO . CA Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:50 Graphical models Statistical models Probability theory Bayesian network Networks Variable elimination Markov random field
52	Max-Margin Markov Networks Ben Taskar Carlos Guestrin Daphne Koller {btaskar,guestrin,koller}@cs.stanford.edu Stanford University Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-03-31 17:58:15
53	A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Oﬃce Activities Nuria Oliver and Eric Horvitz Adaptive Systems & Interaction, Microsoft Research, Redmond, WA USA {nuria, horvitz}@microsoft.com Abstra Add to Reading List Source URL: www.nuriaoliver.com Language: English - Date: 2016-02-16 11:17:16 Markov models Dynamic Bayesian network Hidden Markov model Bayesian network Activity recognition Pattern recognition
54	LETTER doi:nature14236 Human-level control through deep reinforcement learning Add to Reading List Source URL: storage.googleapis.com Language: English - Date: 2016-01-26 06:53:21 Artificial intelligence Machine learning Computational neuroscience Applied mathematics Cybernetics Q-learning Artificial neural networks Reinforcement learning Convolutional neural network DQN Markov decision process Supervised learning
55	Collective Spammer Detection in Evolving Multi-Relational Social Networks Shobeir Fakhraei ∗ University of Maryland College Park, MD, USA Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2015-06-26 16:14:02 Spamming Computing Cyberspace World Wide Web Email spam Anti-spam techniques Social spam Email Markov chain Honeypot Graph Messaging spam
56	Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-12-19 20:23:45 Artificial intelligence Computational neuroscience Machine learning Learning Artificial neural networks Cybernetics Q-learning Reinforcement learning Deep learning Markov decision process Feature learning Temporal difference learning
57	A Distributed Algorithm for Managing Multi-Target Identities in Wireless Ad-hoc Sensor Networks Jaewon Shin1 , Leonidas J. Guibas1 , and Feng Zhao2 1 Add to Reading List Source URL: geometry.stanford.edu Language: English - Date: 2004-06-01 19:21:40 Markov models Matrix Stochastic matrix Markov processes Kalman filter Kaczmarz method
58	Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS ∗ Feng Niu Add to Reading List Source URL: www.cs.stanford.edu Language: English - Date: 2013-07-22 00:25:35 Constraint programming Automated theorem proving Theoretical computer science Mathematics Mathematical logic Markov logic network WalkSAT Graph partition Nibbles Local search Resolution Alchemy
59	Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013 Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-13 11:50:55 Artificial neural networks Restricted Boltzmann machine Boltzmann machine Autoencoder Backpropagation Feedforward neural network Generative model Connectionism Supervised learning Graphical model Machine learning Hidden Markov model
60	Processing Markov Logic Networks with GPUs Carlos Alberto Mart´ınez-Angeles1 , Inˆes Dutra2 , V´ıtor Santos Costa2 and Jorge Buenabad-Ch´avez1 1 Departamento de Computaci´ on, CINVESTAV-IPN Av. Instituto Polit´ Add to Reading List Source URL: www.ilp2015.jp Language: English - Date: 2015-08-22 09:07:46