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HIS
2007
13 years 8 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
AAMAS
2005
Springer
13 years 6 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
GECCO
2010
Springer
159views Optimization» more  GECCO 2010»
13 years 11 months ago
Evolution of division of labor in genetically homogenous groups
Within nature, the success of many organisms, including certain species of insects, mammals, slime molds, and bacteria, is attributed to their performance of division of labor, wh...
Heather Goldsby, David B. Knoester, Charles Ofria
WWW
2003
ACM
14 years 7 months ago
Monitoring the dynamic web to respond to continuous queries
Continuous queries are queries for which responses given to users must be continuously updated, as the sources of interest get updated. Such queries occur, for instance, during on...
Sandeep Pandey, Krithi Ramamritham, Soumen Chakrab...
ICCV
1999
IEEE
14 years 8 months ago
Learning-based Object Detection in Cardiac MR Images
An automated method for left ventricle detection in MR cardiac images is presented. Ventricle detection is the rst step in a fully automated segmentation system used to compute vo...
Nicolae Duta, Anil K. Jain, Marie-Pierre Dubuisson...