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173
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TSP
2011
15 years 29 days ago
2011
—Ranking data is a type of data obtained in some elections, in customer surveys, as well as from web search results. Such data may be considered as a type of signal defined on t...
173
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ML
2002
ACM
15 years 6 months ago
2002
ACM
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
183
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CVPR
1997
IEEE
16 years 8 months ago
1997
IEEE
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
167
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
172
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ICMLA
2008
15 years 8 months ago
2008
We report on three distinct experiments that provide new valuable insights into learning algorithms and datasets. We first describe two effective meta-features that significantly ...