This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
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...
Generating test data for formal state based specifications is computationally expensive. This paper improves a framework that addresses this issue by representing the test data ge...
Karnig Derderian, Mercedes G. Merayo, Robert M. Hi...
Abstract. This contribution studies speciation from the standpoint of evolutionary robotics (ER). A common approach to ER is to design a robot’s control system using neuro-evolut...
Background: Protein alignments are an essential tool for many bioinformatics analyses. While sequence alignments are accurate for proteins of high sequence similarity, they become...
Florian Teichert, Jonas Minning, Ugo Bastolla, Mar...