204 search results - page 39 / 41 » Learning locally minimax optimal Bayesian networks |
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
In this paper, we present a connectionist approach for detecting and precisely localizing semi-frontal human faces in complex images, making no assumption about the content or the...
92
Voted
SECON
2008
IEEE
15 years 3 months ago
2008
IEEE
—Many sensing systems remotely monitor/measure an environment at several sites, and then report these observations to a central site. We propose and investigate several practical...
103
click to vote
JSS
2010
14 years 4 months ago
2010
We study the problem of fast and energy-efficient data collection of sensory data using a mobile sink, in wireless sensor networks in which both the sensors and the sink move. Mot...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
GECCO
2010
Springer
15 years 22 days ago
2010
Springer
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...