7200 search results - page 1198 / 1440 » Self-Organizing Data Mining |
187
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ICDM
2006
IEEE
16 years 17 days ago
2006
IEEE
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
190
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KDD
2009
ACM
15 years 11 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
186
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KDD
1998
ACM
15 years 10 months ago
1998
ACM
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
159
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KDD
1994
ACM
15 years 10 months ago
1994
ACM
We applied TETRAD II, a causal discovery program developed in Carnegie Mellon University's Department of Philosophy, to a database containing information on 204 U.S. colleges...
205
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KDD
2010
ACM
15 years 10 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...