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131
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
114
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Finding good representations of text documents is crucial in information retrieval and classification systems. Today the most popular document representation is based on a vector ...
110
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
110
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...
111
click to vote
ICML
2006
IEEE
16 years 3 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...