8970 search results - page 322 / 1794 » Learning to Learn Causal Models |
152
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JMLR
2010
15 years 1 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
201
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
176
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COGSCI
2010
15 years 6 months ago
2010
The contributions to this special issue on cognitive development collectively propose ways in which learning involves developing constraints that shape subsequent learning. A lear...
203
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...
189
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...