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Gaussian process
Results: 295

#	Item
241	Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:08 Estimation theory Optimal control Stochastic control Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Systems theory Cybernetics
242	ADAPTIVE SUBSAMPLING OF IMAGE SEQUENCES FOR REMOTE EXPLORATION ˜ 3 David R. Thompson1 , David Wettergreen2 , and Rebecca Castano 1 now at Jet Propulsion Laboratory, California Institute of Technology Add to Reading List Source URL: ml.jpl.nasa.gov Language: English - Date: 2009-07-03 12:04:46 Computer vision Margaritifer Sinus quadrangle Mars Exploration Rover Opportunity rover Visual descriptors Gaussian process Covariance matrix Principal component analysis Maximum likelihood Statistics Spaceflight Data analysis
243	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-10-03 18:52:16 Estimation theory Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Robot control
244	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2011-10-03 13:11:09 Robot control Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Estimation theory
245	Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2011-02-22 11:30:08 Stochastic control Optimal control Estimation theory Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Statistics Systems theory
246	Reinforcement learning with Gaussian processes Yaakov Engel Dept. of Computing Science, University of Alberta, Edmonton, Canada Shie Mannor Dept. of Electrical and Computer Engineering, McGill University, Montreal, Cana Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:01 Control theory Linear filters Stochastic differential equations Kalman filter Markov decision process Normal distribution Gaussian process Q-learning SARSA Statistics Markov models Stochastic processes
247	Gaussian Process Product Models for Nonparametric Nonstationarity Ryan Prescott Adams Oliver Stegle Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-13 10:11:12 Linear filters Exponentials Regression analysis Gaussian process Normal distribution Kalman filter Linear regression Kriging Mixture model Statistics Estimation theory Econometrics
248	Geophys. J. Int[removed], 515–565 Gaussian statistics for palaeomagnetic vectors J. J. Love1 and C. G. Constable2 1 US Add to Reading List Source URL: geomag.usgs.gov Language: English - Date: 2012-11-01 16:39:54 Directional statistics Exponentials Gaussian function Gaussian process Mode Rice distribution Maximum likelihood Log-normal distribution Gamma distribution Statistics Normal distribution Summary statistics
249	Gaussian Process Change Point Models Yunus Saat¸ ci Ryan Turner University of Cambridge, Cambridge, CB2 1PZ United Kingdom Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:37 Markov models Control theory Kalman filter Robot control Normal distribution Gaussian process Statistics Probability and statistics Linear filters
250	Reforging the Wedding Ring: Exploring a Semi-Artificial Model of Population for the United Kingdom with Gaussian process Add to Reading List Source URL: www.demographic-research.org Language: English - Date: 2013-11-07 05:49:23 Complex systems theory Ethology Knowledge Agent-based model Social simulation Scientific modelling Microsimulation Economic model Population dynamics Science Scientific modeling Simulation

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