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Stochastic processes
Results: 2145

#	Item
661	The Sequence Memoizer ∗ Frank Wood Department of Statistics Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2012-09-11 11:52:10 Bayesian statistics Stochastic processes Markov processes Graphical models Dirichlet process Pitman–Yor process Markov property Language model Gibbs sampling Statistics Probability and statistics Markov models
662	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
663	Contents 1 Approximative Hedging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 Black–Scholes Formula Revisited . . . . . . . . . . . . . . . . . . . . . . . . . . Add to Reading List Source URL: www.cemi.rssi.ru Language: English - Date: 2010-05-11 10:54:07 Financial economics Mathematical sciences Black–Scholes Equations Options Stock market Risk-neutral measure Martingale Mathematical finance Statistics Stochastic processes
664	Bidirectional Online Probabilistic Planning Aswin Nadamuni Raghavan and Saket Joshi and Alan Fern and Prasad Tadepalli School of Electrical Engineering and Computer Science Oregon State University, Corvallis, ORW Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-06-14 15:16:59 Markov processes Stochastic control Heuristics Automated planning and scheduling University of Cape Town Heuristic function Markov decision process Planner Heuristic Statistics Artificial intelligence Dynamic programming
665	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
666	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
667	Structured spatio-temporal shot-noise Cox point process models, with a view to modelling forest fires August 11, 2008 Jesper Møller, Department of Mathematical Sciences, Aalborg University, Fredrik Bajers Vej 7G, DK-922 Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2008-08-26 10:02:05 Point process Cox process Statistics Stochastic processes Poisson processes
668	Nonparametric Bayesian Texture Learning and Synthesis Long (Leo) Zhu1 Yuanhao Chen2 William Freeman1 Antonio Torralba1 1 2 CSAIL, MIT Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-11-05 17:16:11 Stochastic processes Computer vision Texture synthesis Bayesian statistics Hidden Markov model Dirichlet process Segmentation Texton Latent Dirichlet allocation Statistics Image processing 3D computer graphics
669	The permanent process August 24, 2005 Peter McCullagh and Jesper Møller University of Chicago and Aalborg University Abstract: We extend the boson process first to a large class of Cox processes and second an even large Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2005-08-24 15:08:10 Spectral theory Poisson process Point process Spectrum Variance Eigenvalues and eigenvectors Spectral theory of ordinary differential equations Normal distribution Statistics Algebra Stochastic processes
670	Web Communities Identification from Random Walks Jiayuan Huang1,2 , Tingshao Zhu2 , and Dale Schuurmans2 1 2 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-07-19 01:06:55 Stochastic processes Adjacency matrix Matrices Graph partition Random walk Graph Connectivity Vertex Line graph Graph theory Mathematics Algebraic graph theory

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