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Stochastic process
Results: 1129

#	Item
961	Fast approximate planning in POMDPs Geoff Gordon [removed] Joelle Pineau, Geoff Gordon, Sebastian Thrun. Point-based Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-05-01 11:32:55 Pointwise product Mathematics Dynamic programming Partially observable Markov decision process Stochastic control
962	Algorithms for Inverse Reinfor ement Learning Andrew Y. Ng Stuart Russell ang s.berkeley.edu russell s.berkeley.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2007-04-04 16:42:02 Applied mathematics Stochastic control Markov processes Operations research Mathematical optimization Linear programming Partially observable Markov decision process S0 Bellman equation Dynamic programming Statistics Mathematics
963	JOURNAL OF THE BALKAN GEOPHYSICAL SOCIETY, Vol. 4, No 3, August 2001, p[removed], 10 figs. Exploratory analysis of marked poisson processes applied to Balkan earthquake sequences Dragomir Gospodinov1 and Renata Rotondi2 1 Add to Reading List Source URL: geo.physics.uni-plovdiv.bg Language: English - Date: 2010-10-13 08:30:53 Poisson distribution Exponential distribution Point process Siméon Denis Poisson Aftershock Earthquake prediction Richter magnitude scale Earthquake Counting process Statistics Poisson processes Stochastic processes
964	OH et al.: MARKOV CHAIN MONTE CARLO DATA ASSOCIATION FOR MULTIPLE-TARGET TRACKING 1 Markov Chain Monte Carlo Data Association for Multiple-Target Tracking Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-07-14 20:46:46 Computational statistics Robot control Markov processes Markov chain Particle filter Kalman filter Stochastic process Metropolis–Hastings algorithm Estimation theory Statistics Markov models Monte Carlo methods
965	research highlights doi:[removed][removed]Technical Perspective The Ultimate Pilot Program By Stuart Russell and Lawrence Saul Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2010-05-29 04:46:06 Markov processes Stochastic control Reinforcement learning Markov decision process Apprenticeship learning Statistics Machine learning Dynamic programming
966	Decayed MCMC Filtering Bhaskara Marthi, Hanna Pasula, Stuart Russell, Yuval Peres University of California, Berkeley Berkeley, CA[removed]bhaskara, pasula, russell @cs.berkeley.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2002-11-25 00:38:31 Monte Carlo methods Computational statistics Statistical models Markov chain Monte Carlo Markov processes Markov chain Particle filter Gibbs sampling Stochastic process Statistics Probability and statistics Markov models
967	Mean Reversion of Real Exchange Rates and Purchasing Power Parity in Turkey Joseph D. ALBA and Donghyun PARK,* Nanyang Technological University, Singapore Add to Reading List Source URL: repec.org Language: English - Date: 2010-11-05 03:02:18 Statistical inference International economics Stochastic processes Augmented Dickey–Fuller test Stationary process Statistical hypothesis testing Unit root Bootstrapping Exchange rate Statistics Time series analysis Statistical tests
968	Appeared in: Phys. Rev. D, 10 (4), [removed]Comment on: Derivation of the Schr¨odinger equation from Newtonian mechanics Aloysius F. Kracklauer Department of Physics, University of Houston, Houston, Texas[removed]Da Add to Reading List Source URL: www.nonloco-physics.0catch.com Language: English - Date: 2011-07-09 19:49:42 Quantum mechanics Probability and statistics Equations Statistical mechanics Fokker–Planck equation Wave packet Wiener process Brownian motion Differential equation Statistics Stochastic processes Physics
969	B LOG: Probabilistic Models with Unknown Objects∗ Brian Milch, Bhaskara Marthi, Stuart Russell, David Sontag, Daniel L. Ong and Andrey Kolobov Computer Science Division University of California Berkeley, CA[removed] Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-04-16 01:40:04 Mathematics Random variable Stochastic process Independence Parameter Model theory Probability theory Statistics Probability and statistics
970	Hierarchical Dirichlet Processes Yee Whye Teh [removed] Department of Computer Science, National University of Singapore, Singapore[removed]Michael I. Jordan Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-11-16 13:23:59 Dirichlet distribution Mixture model Hidden Markov model Chinese restaurant process Concentration parameter Probability distribution Markov chain Johann Peter Gustav Lejeune Dirichlet Statistics Stochastic processes Dirichlet process