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Monte Carlo
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#	Item
871	Monte Carlo Bayesian Reinforcement Learning Yi Wang WANGY @ COMP. NUS . EDU . SG Kok Sung Won KOKSUNG @ COMP. NUS . EDU . SG Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-05-24 21:17:28 Stochastic control Markov models Partially observable Markov decision process Bayesian statistics Reinforcement learning Markov decision process Conjugate prior Markov chain Q-learning Statistics Markov processes Dynamic programming
872	IMAGe Seminar (Institute for Mathematics Applied to Geosciences) Add to Reading List Source URL: www.image.ucar.edu Language: English - Date: 2007-02-08 13:43:58 Cybernetics Bayesian statistics Monte Carlo methods Linear filters Data assimilation Kalman filter Tsunami Particle filter Smoothing Statistics Estimation theory Control theory
873	Cutset sampling for Bayesian networks Cutset sampling for Bayesian networks Bozhena Bidyuk Rina Dechter Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-10-03 14:22:14 Graphical models Monte Carlo methods Bayesian statistics Probability theory Networks Decomposition method Bayesian network Markov random field Gibbs sampling Statistics Graph theory Probability and statistics
874	Integrated Perception and Planning in the Continuous Space: A POMDP Approach Haoyu Bai David Hsu Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-09-25 21:49:37 Stochastic control Control theory Partially observable Markov decision process Monte Carlo POMDP Markov decision process Algorithm Maximum likelihood Statistics Dynamic programming Markov processes
875	Monte Carlo Uncertainty Analysis Program v1.0 Lam Tzeng Yih, Kyeong-hak Lee, and Raehyun Kim Center for Forest & Climate Change Korea Forest Research Institute Add to Reading List Source URL: www-gio.nies.go.jp Language: English* - Date: 2012-08-22 17:24:09 Greenhouse gas Intergovernmental Panel on Climate Change Structure
876	Microsoft PowerPoint - 2013_Humies.pptx Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2013-07-05 18:30:31 Mathematical analysis Randomness Monte Carlo methods Cybernetics Genetic algorithm Random number generation Algorithm Numerical integration Monte Carlo integration Mathematics Applied mathematics Numerical analysis
877	PHYSICAL REVIEW B 90, Quantum phase transition with a simple variational ansatz Y. Lutsyshyn,1,* G. E. Astrakharchik,2,† C. Cazorla,3 and J. Boronat2,† 1 Add to Reading List Source URL: www.claudiocazorla.com Language: English - Date: 2014-12-11 11:21:16 Quantum Monte Carlo Condensed matter physics Quantum phases Phase transition Diffusion Monte Carlo Quantum phase transition Quantum mechanics Density functional theory Crystal Physics Quantum chemistry Statistical mechanics
878	Ground-state properties and superfluidity of two-and quasi-two-dimensional solid 4He Add to Reading List Source URL: www.claudiocazorla.com Language: English - Date: 2010-04-05 06:34:35 Superfluid Variational Monte Carlo Helium Supersolid Boson Physical quantity Identical particles Physics Condensed matter physics Phases of matter
879	Learning Adaptive Navigation Strategies for Resource-constrained Systems Armin Hornung1 and Maren Bennewitz1 and Cyrill Stachniss1 and Hauke Strasdat2 and Stefan Oßwald1 and Wolfram Burgard1 Abstract. The majority of na Add to Reading List Source URL: hrl.informatik.uni-freiburg.de Language: English - Date: 2010-10-04 04:38:39 Robotics Humanoid robot Robotic mapping Artificial intelligence Robot Autonomous robot Motion planning Simultaneous localization and mapping Monte Carlo localization Robot navigation Autonomy Mobile robot
880	Learning When to Reject an Importance Sample Jeremy C. Weiss Sriraam Natarajan C. David Page Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2013-05-14 18:45:38 Particle filter Sample size determination Resampling Rejection sampling Sampling Bayesian network Statistical hypothesis testing Exponential distribution Statistics Monte Carlo methods Importance sampling

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