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» Generalized Discriminant Analysis Using a Kernel Approach
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209
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ASPLOS
2009
ACM
16 years 3 months ago
Understanding software approaches for GPGPU reliability
Even though graphics processors (GPUs) are becoming increasingly popular for general purpose computing, current (and likely near future) generations of GPUs do not provide hardwar...
Martin Dimitrov, Mike Mantor, Huiyang Zhou
122
Voted
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 2 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
164
Voted
TNN
2010
234views Management» more  TNN 2010»
14 years 9 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
COLT
1999
Springer
15 years 6 months ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...
JCS
2011
138views more  JCS 2011»
14 years 5 months ago
Automatic analysis of malware behavior using machine learning
Malicious software—so called malware—poses a major threat to the security of computer systems. The amount and diversity of its variants render classic security defenses ineffe...
Konrad Rieck, Philipp Trinius, Carsten Willems, Th...