155 search results - page 28 / 31 » On learning linear ranking functions for beam search |
103
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CIKM
2011
Springer
13 years 11 months ago
2011
Springer
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
111
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ICML
2002
IEEE
16 years 14 days ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
106
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IJRR
2008
14 years 11 months ago
2008
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
115
Voted
ICCV
2011
IEEE
13 years 11 months ago
2011
IEEE
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
105
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RECSYS
2009
ACM
15 years 6 months ago
2009
ACM
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...