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Volumn , Issue , 2010, Pages 92-97

Gene expression classification with a novel coevolutionary based learning classifier system on public clouds

Author keywords

[No Author keywords available]

Indexed keywords

AMAZON EC2; CO-EVOLUTIONARY; CO-EVOLUTIONARY LEARNING; COMPUTATIONAL COSTS; COMPUTING TECHNOLOGY; DISTRIBUTED IMPLEMENTATION; FEATURE SETS; GENE EXPRESSION CLASSIFICATION; GENE EXPRESSION DATA; GENE EXPRESSION PROFILES; GENES EXPRESSION; LEARNING CLASSIFIER SYSTEM; MACHINE LEARNING TECHNIQUES; MICROARRAY DATA; MICROARRAY TECHNOLOGIES; NUMBER OF SAMPLES; PRELIMINARY ANALYSIS;

EID: 79951834272     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/eScienceW.2010.24     Document Type: Article
Times cited : (8)

References (23)
  • 4
    • 84954431348 scopus 로고    scopus 로고
    • Selection of informative genes in gene expression based diagnosis: A nonparametric approach
    • London, UK Springer-Verlag
    • M. Beibel. Selection of Informative Genes in Gene Expression Based Diagnosis: A Nonparametric Approach. In ISMDA '00: Proceedings of the First International Symposium on Medical Data Analysis, pages 300-307, London, UK, 2000. Springer-Verlag.
    • (2000) ISMDA '00: Proceedings of the First International Symposium on Medical Data Analysis , pp. 300-307
    • Beibel, M.1
  • 6
    • 1542376540 scopus 로고    scopus 로고
    • Toward a theory of generalization and learning in XCS
    • IEEE Transactions on
    • M. V. Butz, T. Kovacs, P. L. Lanzi, and S. W. Wilson. Toward a theory of generalization and learning in XCS. Evolutionary Computation, IEEE Transactions on, 8(1):28-46, 2004.
    • (2004) Evolutionary Computation , vol.8 , Issue.1 , pp. 28-46
    • Butz, M.V.1    Kovacs, T.2    Lanzi, P.L.3    Wilson, S.W.4
  • 8
    • 63649117166 scopus 로고    scopus 로고
    • Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering IT services as the 5th utility
    • R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic. Cloud Computing and emerging IT platforms: vision, hype, and reality for delivering IT services as the 5th utility. Future Generation of Computer Systems, 25:599-616, 2009.
    • (2009) Future Generation of Computer Systems , vol.25 , pp. 599-616
    • Buyya, R.1    Yeo, C.S.2    Venugopal, S.3    Broberg, J.4    Brandic, I.5
  • 11
    • 52649085294 scopus 로고    scopus 로고
    • ROC-tree: A novel decision tree induction algorithm based on receiver operating characteristics to classify gene expression data
    • M. M. Hossain, M. R. Hassan, and J. Bailey. ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data. In Proceedings of the SIAM International Conference on Data Mining, pages 455-465, 2008.
    • (2008) Proceedings of the SIAM International Conference on Data Mining , pp. 455-465
    • Hossain, M.M.1    Hassan, M.R.2    Bailey, J.3
  • 12
    • 57049111646 scopus 로고    scopus 로고
    • Learning classifier systems: Then and now
    • March
    • P. L. Lanzi. Learning classifier systems: then and now. Evolutionary Intelligence, 1(1):63-82, March 2008.
    • (2008) Evolutionary Intelligence , vol.1 , Issue.1 , pp. 63-82
    • Lanzi, P.L.1
  • 14
    • 0034153728 scopus 로고    scopus 로고
    • Cooperative coevolution: An architecture for evolving coadapted subcomponents
    • M. A. Potter and K. A. D. Jong. Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents. Evolutionary Computation, 8(1):1-29, 2000.
    • (2000) Evolutionary Computation , vol.8 , Issue.1 , pp. 1-29
    • Potter, M.A.1    Jong, K.A.D.2
  • 20
    • 0001387704 scopus 로고
    • Classifier fitness based on accuracy
    • S. W. Wilson. Classifier Fitness Based on Accuracy. Evolutionary Computation, 3(2):149-175, 1995. http://prediction-dynamics.com/.
    • (1995) Evolutionary Computation , vol.3 , Issue.2 , pp. 149-175
    • Wilson, S.W.1
  • 21
    • 33845570276 scopus 로고    scopus 로고
    • On determination of minimum sample size for discovery of temporal gene expression patterns
    • DOI 10.1109/IMSCCS.2006.95, 1636024, First International Multi- Symposiums on Computer and Computational Sciences, IMSCCS'06
    • F.-X. Wu, W. Zhang, and A. Kusalik. On Determination of Minimum Sample Size for Discovery of Temporal Gene Expression Patterns. In First International Multi-Symposiums on Computer and Computational Sciences, pages 96-103, June 2006. (Pubitemid 44930477)
    • (2006) First International Multi- Symposiums on Computer and Computational Sciences, IMSCCS'06 , vol.1 , pp. 96-103
    • Wu, F.-X.1    Zhang, W.J.2    Kusalik, A.J.3
  • 23
    • 54049138391 scopus 로고    scopus 로고
    • Cooperative co-evolution of GA-based classifiers based on input decomposition
    • F. Zhu and S. Guan. Cooperative co-evolution of GA-based classifiers based on input decomposition. Engineering Applications of Artificial Intelligence, 21:1360-1369, 2008.
    • (2008) Engineering Applications of Artificial Intelligence , vol.21 , pp. 1360-1369
    • Zhu, F.1    Guan, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.