Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Graph Partitioning Using Learning Automata
IEEE Transactions on Computers
Efficient fast learning automata
Information Sciences—Informatics and Computer Science: An International Journal
A learning automata based algorithm for optimization of continuous complex functions
Information Sciences: an International Journal
Varieties of learning automata: an overview
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Brief A strategy for controlling nonlinear systems using a learning automaton
Automatica (Journal of IFAC)
Finite automata with imperfect information as classification tools
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Towards automatic assessment of government web sites
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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In this paper a new classifier has been designed based on the learning automata. This classifier can efficiently approximate the decision hyperplanes in the feature space without need to know the class distributions and the a priori probabilities. The performance of the proposed classifier has been tested on different kinds of benchmarks with nonlinear, overlapping class boundaries and different feature space dimensions. Extensive experimental results on these data sets are provided to show that the performance of the proposed classifier is comparable to, sometimes better than multi-layer perceptron, k-nearest neighbor classifier, genetic classifier, and particle swarm classifier. Also the comparative results are provided to show the effectiveness of the proposed method in comparison to similar researches. Furthermore the effect of the number of training points on the performance of the designed classifier is investigated. It is found that as the number of training data increases, the performance of the classifier tends to the performance of Bayes classifier which is an optimal one.