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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 1 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
SWAT
2004
Springer
129views Algorithms» more  SWAT 2004»
15 years 3 months ago
Online Scheduling of Splittable Tasks in Peer-to-Peer Networks
We consider online scheduling of splittable tasks on parallel machines. In our model, each task can be split into a limited number of parts, that can then be scheduled independentl...
Leah Epstein, Rob van Stee
IAT
2009
IEEE
15 years 4 months ago
Introducing Communication in Dis-POMDPs with Finite State Machines
Distributed Partially Observable Markov Decision Problems (DisPOMDPs) are emerging as a popular approach for modeling sequential decision making in teams operating under uncertain...
Yuki Iwanari, Makoto Tasaki, Makoto Yokoo, Atsushi...
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
15 years 4 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
CASES
2007
ACM
15 years 1 months ago
A fast and generic hybrid simulation approach using C virtual machine
Instruction Set Simulators (ISSes) are important tools for cross-platform software development. The simulation speed is a major concern and many approaches have been proposed to i...
Lei Gao, Stefan Kraemer, Rainer Leupers, Gerd Asch...