Exploring the Power of Genetic Search in Learning Symbolic Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Multiple Learning Strategies in First Order Logics
Machine Learning - Special issue on multistrategy learning
A genetic algorithm for learning fuzzy controllers
SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning
Machine Learning - Special issue on multistrategy learning
Mining interesting regions using an evolutionary algorithm
Proceedings of the 2002 ACM symposium on Applied computing
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach
Applied Intelligence
Data Mining and Knowledge Discovery
Inducing Logic Programs With Genetic Algorithms: The Genetic Logic Programming System
IEEE Expert: Intelligent Systems and Their Applications
A Study on the Effect of Cooperative Evolution on Concept Learning
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
MLDM '99 Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition
Genetic Programming and Domain Knowledge: Beyond the Limitations of Grammar-Guided Machine Discovery
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
OBLIC: Classification System Using Evolutionary Algorithm
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Integrated Architectures for Machine Learning
Machine Learning and Its Applications, Advanced Lectures
Avoiding the Bloat with Stochastic Grammar-Based Genetic Programming
Selected Papers from the 5th European Conference on Artificial Evolution
An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
Handbook of data mining and knowledge discovery
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Relational concept learning by cooperative evolution
Journal of Experimental Algorithmics (JEA)
An efficient data structure for decision rules discovery
Proceedings of the 2003 ACM symposium on Applied computing
Supervised learning by means of accuracy-aware evolutionary algorithms
Information Sciences: an International Journal - Special issue: Evolutionary computation
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
Evolutionary rule-based system for IPO underpricing prediction
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Feature influence for evolutionary learning
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
The compact classifier system: motivation, analysis, and first results
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Learning Concept Descriptions with Typed Evolutionary Programming
IEEE Transactions on Knowledge and Data Engineering
Application of elitist multi-objective genetic algorithm for classification rule generation
Applied Soft Computing
Prototype induction and attribute selection via evolutionary algorithms
Intelligent Data Analysis
Genetic learner: Discretization and fuzzification of numerical attributes
Intelligent Data Analysis
Search-intensive concept induction
Evolutionary Computation
An analysis of the “universal suffrage” selection operator
Evolutionary Computation
Connectionist theory refinement: genetically searching the space of network topologies
Journal of Artificial Intelligence Research
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Natural coding: a more efficient representation for evolutionary learning
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Binary rule encoding schemes: a study using the compact classifier system
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
A novel approach to machine discovery: genetic programming and stochastic grammars
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
A genetic algorithms approach to ILP
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
IEEE Transactions on Evolutionary Computation
Cooperative evolutive concept learning: an empirical study
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
Mining data streams with concept drifts using genetic algorithm
Artificial Intelligence Review
Evolutionary generation of prototypes for a learning vector quantization classifier
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
An approach to reduce the cost of evaluation in evolutionary learning
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Information Sciences: an International Journal
reCORE --- a coevolutionary algorithm for rule extraction
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Revisiting the Memory of Evolution
Fundamenta Informaticae
Learning Classification Programs: The Genetic Algorithm Approach
Fundamenta Informaticae
Hi-index | 0.00 |
Supervised learning in attribute-based spaces is one of the most popular machine learning problems studied and, consequently, has attracted considerable attention of the genetic algorithm community. The full-memory approach developed here uses the same high-level descriptive language that is used in rule-based systems. This allows for an easy utilization of inference rules of the well-known inductive learning methodology, which replace the traditional domain-independent operators and make the search task-specific. Moreover, a closer relationship between the underlying task and the processing mechanisms provides a setting for an application of more powerful task-specific heuristics. Initial results obtained with a prototype implementation for the simplest case of single concepts indicate that genetic algorithms can be effectively used to process high-level concepts and incorporate task-specific knowledge. The method of abstracting the genetic algorithm to the problem level, described here for the supervised inductive learning, can be also extended to other domains and tasks, since it provides a framework for combining recently popular genetic algorithm methods with traditional problem-solving methodologies. Moreover, in this particular case, it provides a very powerful tool enabling study of the widely accepted but not so well understood inductive learning methodology.