8970 search results - page 392 / 1794 » Learning to Learn Causal Models |
166
Voted
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
214
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PKDD
2009
Springer
16 years 1 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...
189
Voted
IJCAI
2003
15 years 8 months ago
2003
Hyperlink analysis is a successful approach to define algorithms which compute the relevance of a document on the basis of the citation graph. In this paper we propose a technique...
192
Voted
ICPR
2004
IEEE
16 years 8 months ago
2004
IEEE
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
164
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...