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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 12 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
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
ICDCS
2009
IEEE
14 years 5 months ago
Minimizing the Hidden Cost of RDMA
Remote Direct Memory Access (RDMA) is a mechanism whereby data is moved directly between the application memory of the local and remote computer. In bypassing the operating system...
Philip Werner Frey, Gustavo Alonso
SRDS
2003
IEEE
14 years 1 months ago
Performance and Effectiveness Analysis of Checkpointing in Mobile Environments
Many mathematical models have been proposed to evaluate the execution performance of an application with and without checkpointing in the presence of failures. They assume that th...
Xinyu Chen, Michael R. Lyu
CGF
2011
13 years 2 months ago
A Parallel SPH Implementation on Multi-Core CPUs
This paper presents a parallel framework for simulating fluids with the Smoothed Particle Hydrodynamics (SPH) method. For low computational costs per simulation step, efficient ...
Markus Ihmsen, Nadir Akinci, Markus Becker, Matthi...