568 search results - page 27 / 114 » Efficient Distribution Mining and Classification |
123
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
199
Voted
SSD
1999
Springer
15 years 7 months ago
1999
Springer
Classification is one of the basic tasks of data mining in modern database applications including molecular biology, astronomy, mechanical engineering, medical imaging or meteorolo...
122
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KDD
2003
ACM
16 years 3 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
124
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
120
Voted
KDD
2010
ACM
15 years 5 months ago
2010
ACM
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...