Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization
人工智能
2016-08-16 v1
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
@article{arxiv.cs/0611138,
title = {Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization},
author = {Vojtech Krmicek and Michèle Sebag},
journal= {arXiv preprint arXiv:cs/0611138},
year = {2016}
}