A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Thesystempresented here showsthe feasibility of modcling the knowledgeinvolved in a complexmusical activity by integrating sub-symbolicand symbolicprocesses. Thisresearch focuses ...
Claudia V. Goldman, Dan Gang, Jeffrey S. Rosensche...
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
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...