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IPPS
2005
IEEE
14 years 28 days ago
Processor Allocation for Tasks that is Robust Against Errors in Computation Time Estimates
Heterogeneous computing systems composed of interconnected machines with varied computational capabilities often operate in environments where there may be sudden machine failures...
Prasanna Sugavanam, Howard Jay Siegel, Anthony A. ...
ICAC
2006
IEEE
14 years 1 months ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
TNN
2008
152views more  TNN 2008»
13 years 7 months ago
Distributed Parallel Support Vector Machines in Strongly Connected Networks
We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
Yumao Lu, Vwani P. Roychowdhury, L. Vandenberghe
ICCAD
2010
IEEE
125views Hardware» more  ICCAD 2010»
13 years 5 months ago
Peak current reduction by simultaneous state replication and re-encoding
Reducing circuit's peak current plays an important role in circuit reliability in deep sub-micron era. For sequential circuits, it is observed that the peak current has a str...
Junjun Gu, Gang Qu, Lin Yuan, Qiang Zhou
ML
2002
ACM
143views Machine Learning» more  ML 2002»
13 years 7 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng