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VLSISP
2010
254views more  VLSISP 2010»
13 years 3 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
IAT
2006
IEEE
13 years 11 months ago
Representing Context for Multiagent Trust Modeling
We present a universal mechanism that can be combined with existing trust models to extend their capabilities towards efficient modelling of the situational (contextdependent) tr...
Martin Rehák, Milos Gregor, Michal Pechouce...
BMCBI
2007
153views more  BMCBI 2007»
13 years 5 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
ICMLA
2010
13 years 3 months ago
Smoothing Gene Expression Using Biological Networks
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 3 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong