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ICML
2004
IEEE
15 years 10 months ago
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
JVM
2004
106views Education» more  JVM 2004»
14 years 11 months ago
Kernel Plugins: When a VM Is Too Much
This paper presents kernel plugins, a framework for dynamic kernel specialization inspired by ideas borrowed from virtualization research. Plugins can be created and updated inexp...
Ivan B. Ganev, Greg Eisenhauer, Karsten Schwan
HPCA
2011
IEEE
14 years 1 months ago
Architectural framework for supporting operating system survivability
The ever increasing size and complexity of Operating System (OS) kernel code bring an inevitable increase in the number of security vulnerabilities that can be exploited by attack...
Xiaowei Jiang, Yan Solihin
TR
2010
204views Hardware» more  TR 2010»
14 years 4 months ago
Anomaly Detection Through a Bayesian Support Vector Machine
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
Vasilis A. Sotiris, Peter W. Tse, Michael Pecht
JMLR
2010
129views more  JMLR 2010»
14 years 4 months ago
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
Jimmy Olsson, Jonas Ströjby