247 search results - page 40 / 50 » Superset Learning Based on Generalized Loss Minimization |
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
100
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SIAMCOMP
2000
15 years 2 days ago
2000
Abstract. We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and parti...
117
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ML
2002
ACM
14 years 12 months ago
2002
ACM
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
108
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NIPS
1998
15 years 1 months ago
1998
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Topic representation mismatch is a key problem in topic-oriented summarization for the specified topic is usually too short to understand/interpret. This paper proposes a novel ad...