Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ļ¬...
A number of heuristics have been used in Learning Classiļ¬er Systems to initialise parameters of new rules, to adjust ļ¬tness of parent rules when they generate oļ¬spring, and ...
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Novelty detection is a machine learning technique which identiļ¬es new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
The generation of robot controllers for a task requiring a sequence of elementary behaviors is still a challenge. If these behaviors are known, intermediate steps can be given to ...