Stochastic optimization - PDFSEARCH.IO - Document Search Engine

Stochastic optimization
Results: 750

#	Item
271	Journal of Machine Learning Research Submitted 10/07; Revised 3/08; Published 6/08 Shark Christian Igel Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2008-06-16 14:58:30 Neural networks Applied mathematics Evolutionary algorithms Stochastic optimization Mathematical optimization Support vector machine CMA-ES Genetic algorithm Artificial neural network Machine learning Cybernetics Statistics
272	T h r e e Generative, Lexicalised M o d e l s for Statistical Parsing M i c h a e l Collins* D e p t . of C o m p u t e r a n d I n f o r m a t i o n Science University of Pennsylvania P h i l a d e l p h i a , P A , 191 Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-15 04:30:58 Science Mathematical optimization Formal languages NP-complete NP Treebank Parse tree Syntax Stochastic context-free grammar Linguistics Theoretical computer science Complexity classes
273	Automated Hierarchy Discovery for Planning in Partially Observable Environments Laurent Charlin & Pascal Poupart David R. Cheriton School of Computer Science Faculty of Mathematics Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-11-23 03:02:24 Applied mathematics Dynamic programming Stochastic control Computability theory Recursion Mathematical optimization Control theory Finite-state machine Markov decision process Statistics Markov processes Mathematical sciences
274	Figure 1: The collaborative topic Poisson factorization model (CTPF). A Stochastic variational inference for the collaborative topic Poisson factorization model Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-11-03 20:43:29 Machine learning Latent Dirichlet allocation Stochastic approximation Mathematics Mathematical optimization Bayesian statistics Evolutionary algorithms Dynamic topic model Stochastic optimization Statistics Statistical natural language processing
275	Automated Hierarchy Discovery for Planning in Partially Observable Domains by Laurent Charlin Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-11-23 03:02:25 Mathematics Dynamic programming Markov processes Stochastic control Numerical software Mathematical optimization Markov decision process Solver Hierarchy Statistics Operations research Applied mathematics
276	POND-Hindsight: Applying Hindsight Optimization to POMDPs Alan Olsen and Daniel Bryce , Utah State University Logan, UT Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-06-14 15:17:26 Markov processes Stochastic control Artificial intelligence Partially observable Markov decision process Control theory Automated planning and scheduling Game artificial intelligence Hindsight Heuristic function Search algorithms Statistics Dynamic programming
277	A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds Stefano Sebastio Michele Amoretti Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Ant colony optimization algorithms Stochastic optimization Distributed data storage Travelling salesman problem Ant Distributed computing Computer cluster Distributed hash table Grid computing Computing Concurrent computing Theoretical computer science
278	Compact, Convex Upper Bound Iteration for Approximate POMDP Planning Tao Wang University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-04-29 22:25:13 Operations research Mathematical optimization Dynamic programming Markov processes Stochastic control Partially observable Markov decision process Semidefinite programming Linear programming Markov decision process Mathematics Algebra Statistics
279	Bayesian Sparse Sampling for On-line Reward Optimization Tao Wang TRYSI @ CS . UALBERTA . CA Daniel Lizotte DLIZOTTE @ CS . UALBERTA . CA Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-17 16:12:19 Markov processes Stochastic control Statistical inference Partially observable Markov decision process Bayesian inference Thompson sampling Markov decision process Reinforcement learning Machine learning Statistics Dynamic programming Bayesian statistics
280	LRTDP vs. UCT for Online Probabilistic Planning Andrey Kolobov Mausam Daniel S. Weld Add to Reading List Source URL: www.cs.washington.edu Language: English - Date: 2013-08-13 03:53:42 Systems theory Mathematical optimization Equations Operations research Stochastic control Markov decision process Lookahead Bellman equation Automated planning and scheduling Statistics Dynamic programming Control theory

UPDATE