Abstract: Computed prediction represents a major shift in learning classifier system research. XCS with computed prediction, based on linear approximates, ...
We applied XCS with computed prediction, XCSF [18, 19] to the learning of Boolean functions. In particular, we con- sidered three versions of XCSF: one ...
The results show that XCSF with linear prediction performs optimally in typical Boolean domains and it allows more compact solutions evolving classifiers ...
Abstract. We extend XCS with computed prediction by replacing the usual linear prediction used in XCSF with a feedforward multilayer neural network. In XCSF ...
XCS with computed prediction for the learning of Boolean functions. Congress on Evolutionary Computation 2005: 588-595. a service of Schloss Dagstuhl ...
This study elaborates the gained competence further investigating the coding scheme for the EDA component (BOA in our case) of XCS as well as performance in ...
Missing: prediction | Show results with:prediction
In this paper we applied the eXtended Classifier System (XCS) on a novel real world problem, namely digital Design Verification (DV).
The learning classifier system XCS is an iterative rule-learning system that evolves rule structures based on gradient-based prediction and rule quality ...
In this paper we applied the eXtended Classifier System (XCS) on a novel real world problem, namely digital Design Verification (DV).
XCS can potentially learn any Boolean function if enough resources are allocated (the right parameters are used). 2. The main metric in determining the ...