155 search results - page 27 / 31 » On learning linear ranking functions for beam search |
124
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CIKM
2010
Springer
15 years 12 days ago
2010
Springer
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
111
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WWW
2004
ACM
16 years 2 months ago
2004
ACM
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
130
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MIR
2005
ACM
15 years 7 months ago
2005
ACM
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
108
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ICML
2004
IEEE
16 years 2 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...
171
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KDD
2012
ACM
13 years 4 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....