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Gaussian process
Results: 295

#	Item
231	Proposal/Contract no.: [removed]Project start: September 1, 2006 Project end: August 31, 2009 INTAMAP Interoperability and Automated Mapping Add to Reading List Source URL: www.intamap.org Language: English - Date: 2009-11-09 05:05:54 Estimation theory Robust statistics Statistical theory Kriging Variogram Maximum likelihood Marginal likelihood Normal distribution Gaussian process Statistics Geostatistics Bayesian statistics
232	Package ‘DiceKriging’ July 2, 2014 Title Kriging methods for computer experiments Version[removed]Date[removed]Author Olivier Roustant, David Ginsbourger, Yves Deville. Contributors: Clement Chevalier, Yann Richet. Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:42:18 Variogram Covariance function Matrix Gaussian process Maximum likelihood Statistics Geostatistics Kriging
233	Learning Accurate Kinematic Control of Cable-Driven Surgical Robots Using Data Cleaning and Gaussian Process Regression Jeffrey Mahler1 , Sanjay Krishnan1 , Michael Laskey1 , Siddarth Sen1 , Adithyavairavan Murali1 , Ben Add to Reading List Source URL: ieor.berkeley.edu Language: English - Date: 2014-04-26 02:12:36 Data analysis Machine learning Robot control Linear regression Kinematics Errors and residuals in statistics Regularization Robotics Robot Statistics Regression analysis Econometrics
234	Actively Learning Level-Sets of Composite Functions Brent Bryan Google Inc., 4720 Forbes Ave., Pittsburgh, PA[removed]BRENT @ GOOGLE . COM Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-04-30 19:27:55 Econometrics Statistical theory Data analysis Confidence interval Normal distribution Gaussian process Kriging Heuristic Variance Statistics Estimation theory Statistical inference
235	New URL: http://www.R-project.org/conferences/DSC[removed]Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC[removed]March 20–22, Vienna, Austria ISSN 1609-395X Add to Reading List Source URL: www.r-project.org Language: English - Date: 2014-02-10 04:26:38 Actuarial science Econometrics Variogram Kriging Semivariance Gaussian process Normal distribution Generalized linear model Linear least squares Statistics Geostatistics Regression analysis
236	Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being Add to Reading List Source URL: ieor.berkeley.edu Language: English - Date: 2013-04-30 13:17:31 Control theory Motion planning Trajectory optimization Partially observable Markov decision process Kalman filter Collision detection Optimal control Normal distribution Robot Mathematical optimization Statistics Applied mathematics
237	Proposal/Contract no.: [removed]Project start: September 1, 2006 Project end: August 31, 2009 INTAMAP Interoperability and Automated Mapping Add to Reading List Source URL: www.intamap.org Language: English - Date: 2009-11-09 05:05:53 Bayesian statistics Robot control Computational statistics Variational Bayesian methods Particle filter Normal distribution Marginal likelihood Gaussian process Importance sampling Statistics Estimation theory Monte Carlo methods
238	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: people.csail.mit.edu Language: English - Date: 2011-10-05 18:46:47 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
239	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: 2010-06-04 04:19:00 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
240	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: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:55 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

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