3395 search results - page 59 / 679 » Learning to efficiently rank |
COLT
2005
Springer
13 years 11 months ago
2005
Springer
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...
JMLR
2012
11 years 11 months ago
2012
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
PAMI
2007
13 years 8 months ago
2007
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
BTW
2007
Springer
2007
Springer
TopX - Efficient and Versatile Top-k Query Process-ing for Text, Semistructured, and Structured Data
14 years 1 months ago
: This paper presents a comprehensive overview of the TopX search engine, an extensive framework for unified indexing and querying large collections of unstructured, semistructured...
SIGMOD
2005
ACM
14 years 9 months ago
2005
ACM
This paper introduces RankSQL, a system that provides a systematic and principled framework to support efficient evaluations of ranking (top-k) queries in relational database syst...