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» Detecting worm variants using machine learning
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ICML
2002
IEEE
16 years 3 months ago
Adaptive View Validation: A First Step Towards Automatic View Detection
Multi-view algorithms reduce the amount of required training data by partitioning the domain features into separate subsets or views that are sufficient to learn the target concep...
Ion Muslea, Steven Minton, Craig A. Knoblock
IJCAI
2007
15 years 3 months ago
Kernel Conjugate Gradient for Fast Kernel Machines
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
Nathan D. Ratliff, J. Andrew Bagnell
ISW
2007
Springer
15 years 8 months ago
Detecting System Emulators
Malware analysis is the process of determining the behavior and purpose of a given malware sample (such as a virus, worm, or Trojan horse). This process is a necessary step to be a...
Thomas Raffetseder, Christopher Krügel, Engin...
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ICML
2004
IEEE
16 years 3 months ago
Decentralized detection and classification using kernel methods
We consider the problem of decentralized detection under constraints on the number of bits that can be transmitted by each sensor. In contrast to most previous work, in which the ...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
ICASSP
2010
IEEE
15 years 2 months ago
Detecting local semantic concepts in environmental sounds using Markov model based clustering
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui