511 search results - page 59 / 103 » Learning and Evolution |
169
Voted
CP
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we present and evaluate an evolutionary approach for learning new constraint satisfaction algorithms, specifically for MAX-SAT optimisation problems. Our approach of...
149
Voted
JCAL
2002
15 years 5 months ago
2002
As computing technology has increasingly become relevant to people's everyday lives, emphasis is being placed on ensuring Computer Assisted Learning (CAL) tools support users ...
167
Voted
GECCO
2010
Springer
15 years 9 months ago
2010
Springer
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
176
Voted
ATAL
2007
Springer
16 years 10 days ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
187
Voted
IEEEPACT
2008
IEEE
16 years 17 days ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...