30 search results - page 3 / 6 » Variational theory and domain decomposition for nonlocal pro... |
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
JAIR
2008
13 years 10 months ago
2008
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
AUSAI
2008
Springer
14 years 10 days ago
2008
Springer
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
TSP
2008
13 years 10 months ago
2008
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
IJCAI
2007
13 years 11 months ago
2007
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...