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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
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
14 years 22 days ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
FSTTCS
2009
Springer
14 years 2 months ago
Donation Center Location Problem
We introduce and study the donation center location problem, which has an additional application in network testing and may also be of independent interest as a general graph-theor...
Chien-Chung Huang, Zoya Svitkina
CEC
2005
IEEE
14 years 1 months ago
Hybrid evolutionary static scheduling for heterogeneous systems
Abstract- The complexity of the static scheduling problem on heterogeneous resources has motivated the development of low complexity heuristics such as list scheduling. However, th...
Cristina Boeres, Eyder Rios, Luiz Satoru Ochi
AAAI
1996
13 years 8 months ago
A Graph-Based Method for Improving GSAT
GSAT is a randomized greedy local repair procedure that was introduced for solving propositional satis ability and constraint satisfaction problems. We present an improvement to G...
Kalev Kask, Rina Dechter