3616 search results - page 29 / 724 » Support Tucker Machines |
KDD
2004
ACM
14 years 1 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
COLT
1999
Springer
14 years 22 hour ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Although version space support vector machines (VSSVMs) are a successful approach to reliable classification [6], they are restricted to separable data. This paper proposes gener...
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...
FLAIRS
2003
13 years 9 months ago
2003
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...