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» Entropy Numbers, Operators and Support Vector Kernels
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GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
13 years 8 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
CCS
2007
ACM
14 years 1 months ago
Uclinux: a linux security module for trusted-computing-based usage controls enforcement
Usage controls allow the distributor of some information to limit how recipients of that information may use it. The Trusted Computing Group has standardized Trusted Platform Modu...
David Kyle, José Carlos Brustoloni
CVPR
2008
IEEE
14 years 9 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
EMSOFT
2001
Springer
14 years 3 days ago
Rate-Based Resource Allocation Models for Embedded Systems
: Run-time executives and operating system kernels for embedded systems have long relied exclusively on static priority scheduling of tasks to ensure timing constraints and other c...
Kevin Jeffay, Steve Goddard
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
13 years 11 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...