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ICML
2009
IEEE
13 years 7 months ago
Multiple indefinite kernel learning with mixed norm regularization
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
Matthieu Kowalski, Marie Szafranski, Liva Ralaivol...
EMMCVPR
2011
Springer
12 years 9 months ago
Curvature Regularity for Multi-label Problems - Standard and Customized Linear Programming
Abstract. We follow recent work by Schoenemann et al. [25] for expressing curvature regularity as a linear program. While the original formulation focused on binary segmentation, w...
Thomas Schoenemann, Yubin Kuang, Fredrik Kahl
LCR
1998
Springer
109views System Software» more  LCR 1998»
14 years 2 months ago
Expressing Irregular Computations in Modern Fortran Dialects
Abstract. Modern dialects of Fortran enjoy wide use and good support on highperformance computers as performance-oriented programming languages. By providing the ability to express...
Jan Prins, Siddhartha Chatterjee, Martin Simons
NIPS
2003
13 years 11 months ago
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
Claudio Gentile
BMCBI
2007
176views more  BMCBI 2007»
13 years 10 months ago
Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...
Markus Weniger, Julia C. Engelmann, Jörg Schu...