If complexity is your problem, learning classifier systems (LCSs) may offer a solution. These
rule‐based, multifaceted, machine learning algorithms originated and have evolved in the …

Sentiment analysis of public views and spam detection from social media text messages are
two challenging data analysis tasks due to short informal text. This paper investigates the …

The International Workshop on Learning Classifier Systems (IWLCS) is an annual workshop
at the GECCO conference where new concepts and results regarding learning classifier …

XCS, an evolutionary computing technique, can classify data using both bit strings and real
valued representations." Real valued XCS"(XCSR) commonly uses the min max interval …

Interactions between amino acids that are close in the spatial structure, but not necessarily
in the sequence, play important structural and functional roles in proteins. These non-local …

This paper describes an improved version of TBL algorithm [Y. Sakakibara, Learning context-
free grammars using tabular representations, Pattern Recognition 38 (2005) 1372–1383; Y …

In this paper, we address the problem of predicting the location of amyloidogenic regions in
proteins. The language of protein sequence can be described by using a formal system such …

In this paper we introduce some improvements to the tabular representation algorithm (TBL)
dedicated to inference of grammars in Chomsky normal form. TBL algorithm uses a Genetic …

Identifying bacterial promoters is an important step towards understanding gene regulation.
In this paper, we address the problem of predicting the location of promoters in Escherichia …

In this paper, we address the problem of inducing (weighted) context-free grammar (WCFG)
on data given. The induction is performed by using a new model of grammatical inference …