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» More generality in efficient multiple kernel learning
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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 9 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
IIS
2001
13 years 10 months ago
Discovering Multi-head Attributional Rules in Large Databases
: A method for discovering multi-head attributional rules in large databases is presented and illustrated by results from an implemented program. Attributional rules (a.k.a. attrib...
Jerzy Clowinski, Ryszard S. Michalski
HPCA
2009
IEEE
14 years 9 months ago
Bridging the computation gap between programmable processors and hardwired accelerators
New media and signal processing applications demand ever higher performance while operating within the tight power constraints of mobile devices. A range of hardware implementatio...
Kevin Fan, Manjunath Kudlur, Ganesh S. Dasika, Sco...
BMCBI
2010
125views more  BMCBI 2010»
13 years 9 months ago
Large-scale prediction of protein-protein interactions from structures
Background: The prediction of protein-protein interactions is an important step toward the elucidation of protein functions and the understanding of the molecular mechanisms insid...
Martial Hue, Michael Riffle, Jean-Philippe Vert, W...
BMCBI
2008
164views more  BMCBI 2008»
13 years 9 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke