2100 search results - page 152 / 420 » Learning to rank on graphs |
200
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SIGIR
2008
ACM
15 years 6 months ago
2008
ACM
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
174
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IJAR
2006
15 years 6 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
218
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BMCBI
2008
15 years 6 months ago
2008
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
151
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
147
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AGENTS
1997
Springer
15 years 10 months ago
1997
Springer
Abstract. We present a purely vision-based scheme for learning a topological representation of an open environment. The system represents selected places by local views of the surr...