2164 search results - page 261 / 433 » Learning to rank for information retrieval |
190
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MIR
2005
ACM
16 years 2 days ago
2005
ACM
It is estimated that less than ten percent of the world’s species have been discovered and described. The main reason for the slow pace of new species description is that the sc...
177
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EMNLP
2010
15 years 4 months ago
2010
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
172
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ICTIR
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
173
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PRICAI
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Humans can associate vision and language modalities and thus generate mental imagery, i.e. visual images, from linguistic input in an environment of unlimited inflowing i...
144
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WWW
2006
ACM
16 years 7 months ago
2006
ACM
The currently booming search engine industry has determined many online organizations to attempt to artificially increase their ranking in order to attract more visitors to their ...