Functional brain imaging with multi-objective multi-modal evolutionary optimization

被引：0
|
作者：
Krmicek, Vojtech [1 ]
Sebag, Michele
机构：
[1] Masaryk Univ, Dept Comp Sci, CZ-60200 Brno, Czech Republic
[2] Univ Paris 11, INRIA LRI, CNRS, IA TAO, F-91405 Orsay, France
来源：
PARALLEL PROBLEM SOLVING FROM NATURE - PPSN IX, PROCEEDINGS | 2006年 / 4193卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multi-modal optimization is proposed to formalize these data mining problems, and addressed through Evolutionary Computation (EC). The merits of EC for spatio-temporal data mining are demonstrated as the approach facilitates the modelling of the experts' requirements, and flexibly accommodates their changing goals.
引用
收藏
页码：382 / 391
页数：10
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