Gaussian processes for machine learning (2006)

by Carl Edward Rasmussen
Citations:280 - 2 self

Active Bibliography

3 Requirements Controlled Design: A Method for Discovery of Discontinuous System Boundaries in the Requirements Hyperspace – The Requirements Hyperspace, Michael Hollingsworth, Dr. D. N. Mavris, Dr. D. Schrage, Dr. J. Craig, Dr. S. Goodman, Mr. C. Nickol - 2004
33 Variational Bayesian multinomial probit regression with Gaussian process priors – Mark Girolami, Simon Rogers - 2005
1 Analysis of some methods for reduced rank gaussian process regression – Joaquin Quiñonero-c, Carl Edward Rasmussen - 2004
Algorithms and Representations for Reinforcement Learning – unknown authors
Bayesian Reinforcement Learning with Gaussian Process Temporal Difference Methods – Yaakov Engel, Shie Mannor, Ron Meir, U. N. Known
2 Analysis of some methods for reduced rank Gaussian process regression – Joaquin Quiñonero-Candela, Carl Edward Rasmussen - 2004
37 Algorithms and Representations for Reinforcement Learning – Yaakov Engel, Douglas Adams - 2005
3 Gaussian Process Models of Spatial Aggregation Algorithms – Naren Ramakrishnan - 2003
Bayesian Approach To Support Vector Machines – Chu Wei - 2003
(Statistics) BAYESIAN MODELS AND MACHINE LEARNING WITH GENE EXPRESSION ANALYSIS APPLICATIONS by – Ming Liao, Ming Liao
Process Regression – Malte Kuss, Tobias Pfingsten, Lehel Csató, Carl E. Rasmussen, Malte Kuss, Tobias Pfingsten, Lehel Csató, Carl E. Rasmussen - 2005
1 Gaussian Process Regressors for Multiuser Detection in DS-CDMA systems – Juan José, Murillo-fuentes Member, O Pérez-cruz Senior Member
4 Approximate Inference for Robust Gaussian Process Regression – Malte Kuss, Tobias Pfingsten, Lehel Csató, Carl E. Rasmussen, Malte Kuss, Tobias Pfingsten, Lehel Csató, Carl E. Rasmussen - 2005
66 Gaussian processes for machine learning – Matthias Seeger - 2004
Efficient Parameter Selection for Support Vector – Machines In Classification - 2005
10 Healing the relevance vector machine through augmentation – Carl Edward Rasmussen - 2005
4 Efficient Covariance Matrix Methods for Bayesian Gaussian Processes and Hopfield Neural Networks – Amos James Storkey - 1999
Detecting Worm Mutations Using Machine Learning – Oliver Sharma - 2008
4 Multiple output gaussian process regression – Phillip Boyle, Marcus Frean, Phillip Boyle, Marcus Frean - 2005