5114 search results - page 24 / 1023 » Learning for Evolutionary Design |
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
IDEAL
2009
Springer
13 years 7 months ago
2009
Springer
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
ICES
1998
Springer
14 years 2 months ago
1998
Springer
The basic properties of programmable analogue arrays are described and the problem of quantifying the fitness of an analogue circuit is discussed. A set of blocks appropriate for u...