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139
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
127
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WWW
2009
ACM
16 years 4 months ago
2009
ACM
Traditional information systems return answers after a user submits a complete query. Users often feel "left in the dark" when they have limited knowledge about the unde...
139
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
130
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KDD
2003
ACM
16 years 4 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...
129
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KDD
2002
ACM
16 years 4 months ago
2002
ACM
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...