3668 search results - page 398 / 734 » Margin Distribution and Learning |
166
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
146
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WWW
2008
ACM
16 years 7 months ago
2008
ACM
The term "Web 2.0" is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that...
213
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
179
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
192
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WSDM
2010
ACM
16 years 4 months ago
2010
ACM
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...