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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 9 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
122
Voted
SWAT
2004
Springer
129views Algorithms» more  SWAT 2004»
15 years 10 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
116
Voted
IAT
2009
IEEE
15 years 12 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 11 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
183
Voted
CASES
2007
ACM
15 years 9 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...