7150 search results - page 770 / 1430 » Graph-Based Data Mining |
197
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ICDM
2005
IEEE
16 years 1 months ago
2005
IEEE
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
196
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PAKDD
2005
ACM
16 years 27 days ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
189
Voted
CASDMKM
2004
Springer
16 years 25 days ago
2004
Springer
Abstract. Many methodologies have been introduced to deal with project portfolio selection problem including some techniques that help to evaluate individual projects, or to select...
188
Voted
PAKDD
2004
ACM
16 years 23 days ago
2004
ACM
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
178
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PAKDD
2004
ACM
16 years 23 days ago
2004
ACM
Abstract. In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connec...