648 search results - page 40 / 130 » Large Margin Classification Using the Perceptron Algorithm |
ICML
2007
IEEE
14 years 8 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...
BIBM
2007
IEEE
13 years 11 months ago
2007
IEEE
The tridimensional structure of a protein is constrained or stabilized by some local interactions between distant residues of the protein, such as disulfide bonds, electrostatic i...
CIDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
SIGMOD
2010
ACM
13 years 7 months ago
2010
ACM
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
IBPRIA
2009
Springer
14 years 8 days ago
2009
Springer
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...