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COLT
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We develop a new error bound for transductive learning algorithms. The slack term in the new bound is a function of a relaxed notion of transductive stability, which meas...
NIPS
1998
13 years 9 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...
ACML
2009
Springer
14 years 9 days ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
EUROCOLT
1999
Springer
13 years 12 months ago
1999
Springer
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...