513 search results - page 22 / 103 » Learning Models for Ranking Aggregates |
101
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KDD
2006
ACM
16 years 1 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
108
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COLING
2010
14 years 7 months ago
2010
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
114
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ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
124
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CIKM
2010
Springer
14 years 11 months ago
2010
Springer
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
103
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ML
2010
ACM
14 years 11 months ago
2010
ACM
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method tha...