92 search results - page 7 / 19 » Learning valued preference structures for solving classifica... |
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
RECOMB
2010
Springer
14 years 11 months ago
2010
Springer
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
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BMCBI
2007
14 years 9 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...