1131 search results - page 129 / 227 » Generalization Improvement in Multi-Objective Learning |
127
Voted
KDD
2008
ACM
16 years 29 days ago
2008
ACM
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
120
Voted
ICASSP
2010
IEEE
15 years 23 days ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
199
Voted
ML
2011
ACM
14 years 7 months ago
2011
ACM
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
95
Voted
COLT
2005
Springer
15 years 6 months ago
2005
Springer
We present a new generalization bound where the use of unlabeled examples results in a better ratio between training-set size and the resulting classifier’s quality and thus red...
117
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AMT
2006
Springer
15 years 4 months ago
2006
Springer
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...