8970 search results - page 196 / 1794 » Learning to Learn Causal Models |
142
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FOCI
2007
IEEE
15 years 11 months ago
2007
IEEE
Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memo...
124
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ICCV
2005
IEEE
15 years 10 months ago
2005
IEEE
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
124
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CORR
2010
Springer
15 years 5 months ago
2010
Springer
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
138
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KES
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. In exploratory learning environments, learners can use different strategies to solve a problem. To the designer or teacher, however, not all these strategies are known in...
201
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ICTAI
2010
IEEE
15 years 2 months ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...