On principal component analysis for high-dimensional XCSR-Reference-Cited by-同舟云学术

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On principal component analysis for high-dimensional XCSR

Published:2012-05-22 Issue:2 Volume:5 Page:129-138
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Behdad Mohammad,French Tim,Barone Luigi,Bennamoun Mohammed

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s12065-012-0075-6.pdf

Reference25 articles.

1. Abdi H, Williams LJ (2010) Principal component analysis. Wiley Interdis Rev Comput Stat 2(4):433–459

2. Abedini M, Kirley M (2009) CoXCS: a coevolutionary learning classifier based on feature space partitioning. In: Nicholson A, Li X (eds) AI 2009: advances in artificial intelligence, lecture notes in computer science, vol 5866. Springer, Berlin, pp 360–369

3. Abedini M, Kirley M (2010) A multiple population XCS: evolving condition-action rules based on feature space partitions. In: Evolutionary computation (CEC), 2010 IEEE congress, pp 1–8

4. Bacardit J, Stout M, Hirst J, Krasnogor N (2008) Data mining in proteomics with learning classifier systems. In Bull L, Bernad-Mansilla E, Holmes J (eds) Learning classifier systems in data mining, studies in computational intelligence, vol 125. Springer, Berlin, pp 17–46

5. Behdad M, Barone L, French T, Bennamoun M (2010) An investigation of real-valued accuracy-based learning classifier systems for electronic fraud detection. In: Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, pp 1893–1900

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1. Beta Distribution based XCS Classifier System;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18

2. Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS;Applications of Evolutionary Computation;2022

3. Mining high influence co-location patterns from instances with attributes;Evolutionary Intelligence;2019-11-18

4. Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems;Evolutionary Intelligence;2013-10-08

5. Nature-Inspired Techniques in the Context of Fraud Detection;IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews);2012-11

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