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Volumn , Issue , 2011, Pages 44-51

A particle Swarm Optimization approach to mixed attribute data-set classification

Author keywords

Mixed Attribute Data; Particle Swarm Optimization; Pattern analysis

Indexed keywords

ATTRIBUTE DATA; DATA SETS; DATA TYPE; DESCRIPTORS; DIFFERENT MECHANISMS; EXPERIMENTAL SETUP; FITNESS FUNCTIONS; FREQUENCY MEASURES; PARTICLE POSITION; PARTICLE SWARM; PATTERN ANALYSIS; RECOGNITION ACCURACY; SEARCH SPACES;

EID: 79961139590     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIS.2011.5952559     Document Type: Conference Paper
Times cited : (7)

References (18)
  • 5
    • 33751235251 scopus 로고    scopus 로고
    • Swarm intelligence: Foundations, perspectives and applications
    • DOI 10.1007/978-3-540-33869-7-1, Swarm Intelligent Systems
    • A. Abraham, He Guo, Hongbo Liu, "Swarm Intelligence: Foundations, Perspectives and Applications", Studies in Computational Intelligence (SCI) 26, 3-25 (2006), Springer-Verlag Berlin Heidelberg 2006. (Pubitemid 44781513)
    • (2006) Studies in Computational Intelligence , vol.26 , pp. 3-25
    • Abraham, A.1    Guo, H.2    Liu, H.3
  • 11
    • 36948999941 scopus 로고    scopus 로고
    • Irvine, CA: University of California, School of Information and Computer Science
    • Asuncion, A. & Newman, D.J UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science, 2007.
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2
  • 15
    • 84949434688 scopus 로고    scopus 로고
    • Learning bayesian belief network classifiers: Algorithms and system
    • Advances in Artificial Intelligence
    • J. Cheng, R. Greiner. Learning Bayesian Belief Network Classifiers: Algorithms and System. In proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence, Pages: 141-151, 2001. (Pubitemid 33276095)
    • (2001) Lecture Notes in Computer Science , Issue.2056 , pp. 141-151
    • Cheng, J.1    Greiner, R.2
  • 17
    • 3042616550 scopus 로고    scopus 로고
    • Decomposition methods for linear support vector machines
    • DOI 10.1162/089976604774201640
    • Wei-Chun Kao, Kai-Min Chung, L. Assun, Chih-Jen Lin. Decomposition Methods for Linear Support Vector Machines. In Neural Computation, Volume 16, Issue 8 ,pages: 1689-1704, August 2004. (Pubitemid 38835138)
    • (2004) Neural Computation , vol.16 , Issue.8 , pp. 1689-1704
    • Kao, W.-C.1    Chung, K.-M.2    Sun, C.-L.3    Lin, C.-J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.