Feature selection using hybrid evaluation approaches based on genetic algorithms

Proceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2006

Volumn 2, Issue , 2006, Pages 245-250

  Giraldo T, Luis F ^a   Edilson Delgado, T ^a   Riaño, Juan C ^a   German Castellanos D ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

[No Author keywords available]

Indexed keywords

NON-PATHOLOGICAL SPEECH; PATHOLOGICAL; PATHOLOGIES RECOGNITION; TRAINING SETS;

CLASSIFICATION (OF INFORMATION); DECISION TREES; GENETIC ALGORITHMS; LEARNING SYSTEMS; LIVING SYSTEMS STUDIES; MATHEMATICAL MODELS;

FEATURE EXTRACTION;

EID: 34547442304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CERMA.2006.113     Document Type: Conference Paper

References (13)

1. M. Dash and H. Liu. Feature selection for classification. Intelligent Data Analysis. Elsevier, 1:131-156, 1997.
2. K. Kim, J. Park, M. Song, I. Kim, and C. Suen. Binary decision tree using genetic algorithm for recognizing defect patterns of cold mill strip. In Canadian AI 2004, LNAI 3060, pages 461-466. A.Y. Tawfik, S.D. Goodwin, eds., Springer-Verlag Berlin Heidelberg, 2004.
3. R. C. D and A. Freitas. A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining. Technical report, Pontificia Universidade Catolica do Parana(PUCPR), 2000.
4. J. Bala, J. Huang, H. Vafaie, K. DeJong, and H. Wechsler. Genetic algorithms and decision trees for pattern classification.
5. M. Raymer, W. Punch, E. Goodman, L. Kuhn, and A. Jain. Dimensionality reduction using genetic algorithms. IEEE Transactions on Evolutionary Computation, 4(2):164-171, 2000.
6. H. Bast. Dimension reduction: A powerful principle for automatically finding conceptsin unstructured data. In Proceedings of the International Workshop on Self-Properties inComplex Information Systems (SELF-STAR'04), page 113-116, 2004.
7. J. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
8. A. Jain and D. Zongker. Feature selection: Evaluation, application, and small sample performance. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(2): 153-158, 1997.
9. A. Eiben, R. Hinterding, and Z. Michalewichz. Parameter control in evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 3(2): 124-141, 1999.
10. T. Back and M. Shutz. Intelligent mutation rate control in canonical genetic algorithms: Lecture notes in artificial intelligence, 1996.
11. K. DeJong. The Analysis of the Behavior of a Class of Genetic Adaptative Systems. PhD thesis, University of Michigan, Ann Arbor, Michigan, 1975.
12. J. J. Grefenstette. Optimization of control parameters for genetic algorithms. IEEE transactions on Systems, Man, and Cybernetics, 16(1):122-128, 1986.
13. A. K. Jain, R. P. W. Duin, and J. Mao. Statistical pattern recognition: a review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):4-37, 2000.