Gaussian processes for machine learning (2006)

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by Carl Edward Rasmussen
Citations:152 - 2 self

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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
15 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
22 Algorithms and Representations for Reinforcement Learning – Yaakov Engel, Douglas Adams - 2005
2 Gaussian Process Models of Spatial Aggregation Algorithms – Naren Ramakrishnan - 2003
Bayesian Approach To Support Vector Machines – Chu Wei - 2003
49 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
3 Multiple output gaussian process regression – Phillip Boyle, Marcus Frean, Phillip Boyle, Marcus Frean - 2005
17 Dependent Gaussian processes – Phillip Boyle, Marcus Frean - 2005
7 Model-based transductive learning of the kernel matrix – Zhihua Zhang, James T. Kwok, Dit-yan Yeung - 2006
2 Classifying EEG for Brain Computer Interfaces Using Gaussian Process – Mingjun Zhong, Fabien Lotte, Mark Girolami, Anatole Lécuyer
Robust Multi-Class Gaussian Process Classification Daniel Hernández-Lobato ICTEAM- Machine Learning Group – Université Catholique De Louvain, Place Sainte Barbe, José Miguel Hernández-lobato, Pierre Dupont, Place Sainte Barbe
9 Assesing approximations for gaussian process classification – Malte Kuss, Carl Edward Rasmussen - 2005
44 Implementing approximate Bayesian inference for latent Gaussian models using integrated nested Laplace approximations: A manual for the inla-program – Sara Martino, Nicolas Chopin - 2008