2750 search results - page 208 / 550 » The complexity of learning SUBSEQ(A) |
204
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JMLR
2010
15 years 1 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
209
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JMLR
2010
15 years 1 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
192
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IUI
2011
ACM
14 years 9 months ago
2011
ACM
This paper describes an approach to allow end users to define new procedures through tutorial instruction. Our approach allows users to specify procedures in natural language in t...
223
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
180
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ACL
2012
13 years 9 months ago
2012
Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...