495 search results - page 37 / 99 » Learning to generalize for complex selection tasks |
78
Voted
EUROGP
2000
Springer
15 years 4 months ago
2000
Springer
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
115
Voted
ROBOCUP
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. An object recognition process in general is designed as a domain specific, highly specialized task. As the complexity of such a process tends to be rather inestimable, m...
MCS
2010
Springer
15 years 2 months ago
2010
Springer
In a multiple classifier system, dynamic selection (DS) has been used successfully to choose only the best subset of classifiers to recognize the test samples. Dos Santos et al...
98
Voted
AAMAS
2007
Springer
15 years 18 days ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
109
Voted
CIDM
2009
IEEE
15 years 7 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...