60 search results - page 7 / 12 » State-Space Inference and Learning with Gaussian Processes |
105
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PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
BIOINFORMATICS
2006
14 years 11 months ago
2006
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
101
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AIPS
2007
15 years 1 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
IROS
2008
IEEE
15 years 5 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
109
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...