Information Processing and Management: an International Journal
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
Machine Learning
Machine Learning
Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
Current Trends in Grammatical Inference
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Learning language using genetic algorithms
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
A Roadmap to the Last Decade of Learning Classifier System Research
Learning Classifier Systems, From Foundations to Applications
Analysis of Selection, Mutation and Recombination in Genetic Algorithms
Evolution and Biocomputation, Computational Models of Evolution
Learning grammars with a modified classifier system
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Classifier fitness based on accuracy
Evolutionary Computation
Grammar-Based Classifier System for Recognition of Promoter Regions
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Learning Classifier System Approach to Natural Language Grammar Induction
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Grammar-based classifier system: a universal tool for grammatical inference
WSEAS Transactions on Computers
Grammatical inference with grammar-based classifier system
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Real-Valued GCS Classifier System
International Journal of Applied Mathematics and Computer Science
Topographic map object classification using real-value grammar classifier system
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
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Grammar-based Classifier System (GCS) is a new version of Learning Classifier Systems in which classifiers are represented by context-free grammar in Chomsky Normal Form (CNF). Discovering component of the GCS and fitness function were modified and applied for inferring a toy-grammar, a tiny natural language grammar expressed in CNF. The results obtained proved that proposed rule's fertility improves performance of the GCS considerably.