2681 search results - page 296 / 537 » Learning to learn with the informative vector machine |
157
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Web textual advertising can be interpreted as a search problem over the corpus of ads available for display in a particular context. In contrast to conventional information retrie...
164
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
187
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the underlying structure and associations of a group of ...
189
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ECML
2006
Springer
15 years 10 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
160
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KDD
2006
ACM
16 years 7 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...