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Volumn , Issue , 2007, Pages 253-258

Evolutionary framework for the construction of diverse hybrid ensembles

Author keywords

[No Author keywords available]

Indexed keywords

ENSEMBLE LEARNING ALGORITHM; EVOLUTIONARY FRAMEWORK; MULTIPLE LEVELS;

EID: 84887000710     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (7)
  • 1
    • 84901459245 scopus 로고    scopus 로고
    • Pareto neuro-evolution: Constructing ensemble of neural networks using multi-objective optimization
    • IEEE Press
    • H. A. Abbass. Pareto neuro-evolution: Constructing ensemble of neural networks using multi-objective optimization. In The IEEE 2003 Conference on Evolutionary Computation, volume 3, pages 2074-2080. IEEE Press, 2003.
    • (2003) The IEEE 2003 Conference On Evolutionary Computation , vol.3 , pp. 2074-2080
    • Abbass, H.A.1
  • 5
    • 0001218972 scopus 로고
    • Clustering and the continuous k-means algorithm
    • Los Alamos National Laboratory
    • V. Faber. Clustering and the continuous k-means algorithm. In Los Alamos Science: High Performance Computing, volume 22, pages 138-144. Los Alamos National Laboratory, 1994.
    • (1994) Los Alamos Science: High Performance Computing , vol.22 , pp. 138-144
    • Faber, V.1
  • 6
    • 0034315099 scopus 로고    scopus 로고
    • Evolutionary ensembles with negative correlation learning
    • November
    • Y. Liu, X. Yao, and T. Higuchi. Evolutionary ensembles with negative correlation learning. IEEE-EC, 4(4):380, November 2000.
    • (2000) IEEE-EC , vol.4 , Issue.4 , pp. 380
    • Liu, Y.1    Yao, X.2    Higuchi, T.3
  • 7
    • 0030549306 scopus 로고    scopus 로고
    • Use of methodological diversity to improve neural network generalization
    • W. Yates and D. Partridge. Use of methodological diversity to improve neural network generalization. Neural Computing and Applications, 4(2):114-128, 1996.
    • (1996) Neural Computing and Applications , vol.4 , Issue.2 , pp. 114-128
    • Yates, W.1    Partridge, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.