2033 search results - page 98 / 407 » Ranking on Data Manifolds |
169
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WWW
2006
ACM
16 years 7 months ago
2006
ACM
An important issue arising from large scale data integration is how to efficiently select the top-K ranking answers from multiple sources while minimizing the transmission cost. T...
164
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JMLR
2008
15 years 6 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
154
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WWW
2004
ACM
16 years 7 months ago
2004
ACM
Maximizing only the relevance between queries and documents will not satisfy users if they want the top search results to present a wide coverage of topics by a few representative...
171
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IWANN
2005
Springer
15 years 12 months ago
2005
Springer
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
203
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AAAI
2010
15 years 8 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...