Gaussian processes for machine learning (2006)

by Carl Edward Rasmussen
Citations:280 - 2 self

Documents Related by Co-Citation

774 Probabilistic Robotics – S Thrun, W Burgard, D Fox - 2005
134 Probabilistic non-linear principal component analysis with Gaussian process latent variable models – Neil Lawrence, Aapo Hyvärinen - 2005
84 Gaussian process dynamical models – Jack M. Wang, David J. Fleet, Aaron Hertzmann - 2006
43 Local distance preservation in the gp-lvm through back constraints – Neil D. Lawrence - 2006
8058 Maximum likelihood from incomplete data via the EM algorithm – A. P. Dempster, N. M. Laird, D. B. Rubin - 1977
8950 The Nature of Statistical Learning Theory – Vladimir N. Vapnik - 1995
34 Dynamic imitation in a humanoid robot through nonparametric probabilistic inference – David B. Grimes, Rawichote Chalodhorn, Rajesh P. N. Rao - 2006
61 Gaussian Processes for Signal Strength-Based Location Estimation – Brian Ferris, Dirk Hähnel, Dieter Fox - 2006
100 Learning Physics-Based Motion Style with Nonlinear Inverse Optimization – C. Karen Liu, Aaron Hertzmann, Zoran Popovic - 2005
147 Slice sampling – Radford M. Neal - 2000
1302 RADAR: an in-building RF-based user location and tracking system – Paramvir Bahl, Venkata N. Padmanabhan - 2000
111 Practical robust localization over large-scale 802.11 wireless networks – Andreas Haeberlen, Algis Rudys, Eliot Flannery, Dan S. Wallach, Andrew M. Ladd, Lydia E. Kavraki
46 Large-scale localization from wireless signal strength – Julia Letchner, Dieter Fox, Anthony Lamarca - 2005
29 GPPS: A Gaussian Process Positioning System for Cellular Networks – Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann - 2004
166 Style-Based Inverse Kinematics – Keith Grochow , Steven L. Martin, Aaron Hertzmann , Zoran Popovich - 2004
128 3d people tracking with gaussian process dynamical models – Raquel Urtasun - 2006
476 Probabilistic Principal Component Analysis – Michael E. Tipping, Chris M. Bishop - 1999
29 Gaussian process models for visualisation of high dimensional data – N D Lawrence - 2004
8569 Elements of Information Theory – T M Cover, J A Thomas - 1991