164 search results - page 29 / 33 » Heteroscedastic Gaussian process regression |
103
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ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
KDD
2000
ACM
15 years 1 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
ECAI
2006
Springer
15 years 1 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 ...
EOR
2007
14 years 9 months ago
2007
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...