1605 search results - page 144 / 321 » Metric Learning to Rank |
132
Voted
UAI
2000
15 years 5 months ago
2000
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
125
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
147
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
139
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SIGIR
2008
ACM
15 years 3 months ago
2008
ACM
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
117
Voted
IRI
2007
IEEE
15 years 10 months ago
2007
IEEE
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...