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» A Training Method with Small Computation for Classification
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NIPS
2008
13 years 10 months ago
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
Liu Yang, Rong Jin, Rahul Sukthankar
JMLR
2008
133views more  JMLR 2008»
13 years 9 months ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan
FPLE
1995
14 years 21 days ago
Basic Proof Skills of Computer Science Students
Computer science students need mathematical proof skills. At our University, these skills are being taught as part of various mathematics and computer science courses. To test the ...
Pieter H. Hartel, Bert van Es, Dick Tromp
ICCV
2001
IEEE
14 years 11 months ago
Pairwise Face Recognition
We develop a pairwise classification framework for face recognition, in which a class face recognition problem is divided into a set of ? ?? ? two class problems. Such a problem...
Guodong Guo, HongJiang Zhang, Stan Z. Li
ECML
2006
Springer
14 years 25 days ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small