122 search results - page 12 / 25 » Nonstationary Covariance Functions for Gaussian Process Regr... |
167
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ECAI
2006
Springer
15 years 9 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
168
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
192
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NIPS
2007
15 years 7 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
195
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ESANN
2006
15 years 7 months ago
2006
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
175
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AAAI
2012
13 years 8 months ago
2012
Pre-symptomatic drought stress prediction is of great relevance in precision plant protection, ultimately helping to meet the challenge of “How to feed a hungry world?”. Unfor...