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112
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Gaussian Processes for Machine Learning (GPML) Toolbox
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JMLR
2010
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JMLR 2010
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Gaussian Processes for Machine Learning (GPML) Toolbox
14 years 10 months ago
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jmlr.csail.mit.edu
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
Carl Edward Rasmussen, Hannes Nickisch
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107
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ICML
2009
IEEE
157
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Machine Learning
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ICML 2009
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Function factorization using warped Gaussian processes
16 years 3 months ago
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mikkelschmidt.dk
Mikkel N. Schmidt
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132
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ECML
2007
Springer
168
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Machine Learning
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ECML 2007
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Approximating Gaussian Processes with H2-Matrices
15 years 4 months ago
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videolectures.net
Steffen Börm, Jochen Garcke
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123
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ICML
2007
IEEE
206
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Machine Learning
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ICML 2007
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Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
16 years 3 months ago
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reports-archive.adm.cs.cmu.edu
Andreas Krause, Carlos Guestrin
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108
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ICML
2009
IEEE
219
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Machine Learning
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ICML 2009
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Non-linear matrix factorization with Gaussian processes
16 years 3 months ago
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mmds.imm.dtu.dk
Neil D. Lawrence, Raquel Urtasun
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