922 search results - page 45 / 185 » Learning Gaussian Process Models from Uncertain Data |
124
Voted
SIGIR
2008
ACM
15 years 2 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
138
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
114
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ICRA
2008
IEEE
15 years 8 months ago
2008
IEEE
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
115
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
113
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EENERGY
2010
15 years 6 months ago
2010
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...