225 search results - page 2 / 45 » Semi-supervised Classification Using Local and Global Regula... |
SDM
2008
SIAM
13 years 7 months ago
2008
SIAM
The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
25
Voted
JMLR
2012
11 years 8 months ago
2012
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
AAAI
2008
13 years 8 months ago
2008
In this paper, we propose a semi-supervised learning (SSL) algorithm based on local and global regularization. In the local regularization part, our algorithm constructs a regular...