2100 search results - page 273 / 420 » Learning to rank on graphs |
156
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CORR
2010
Springer
15 years 5 months ago
2010
Springer
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
162
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JMLR
2010
15 years 1 months ago
2010
Kernel approximation is commonly used to scale kernel-based algorithms to applications containing as many as several million instances. This paper analyzes the effect of such appr...
193
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
In this paper, we propose an approach to accurately localize detected objects. The goal is to predict which features pertain to the object and define the object extent with segme...
201
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ACL
2012
13 years 9 months ago
2012
In this paper, we address the issue for learning better translation consensus in machine translation (MT) research, and explore the search of translation consensus from similar, r...
165
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ICML
1996
IEEE
16 years 7 months ago
1996
IEEE
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...