Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Information Retrieval
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rule Based Classifier Generation Using Symbiotic Evolutionary Algorithm
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Feature selection based-on genetic algorithm for image annotation
Knowledge-Based Systems
An evolutionary memetic algorithm for rule extraction
Expert Systems with Applications: An International Journal
Techniques for evolutionary rule discovery in data mining
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Evaluating machine learning techniques for automatic image annotations
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Efficient Distributed Genetic Algorithm for Rule extraction
Applied Soft Computing
reCORE --- a coevolutionary algorithm for rule extraction
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
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This paper describes our experiments in the field of evolutionary algorithms for rule extraction applied to automating image annotation and classification problems. Presented approach is based on classical evolutionary algorithm with binary representation of 'if-then' rules. We want to show that some search space reduction techniques make possible to get problem's solution. Paper shows that the gap between classification and image annotation problem can be bridged easily. Some experiments with EA parametrization in image annotation problem are presented. There are presented first results on ECCV 2002 dataset in image annotation problem.