3668 search results - page 406 / 734 » Margin Distribution and Learning |
184
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
182
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
323
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
197
Voted
KDD
2008
ACM
16 years 7 months ago
2008
ACM
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
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...