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Volumn 5271 LNAI, Issue , 2008, Pages 78-85

Experiments in multi agent learning

Author keywords

Distributed data mining; Ensemble techniques; Evolutionary computation; MAS

Indexed keywords

DATA SOURCE; DISTRIBUTED DATA MINING; DISTRIBUTED KNOWLEDGE; ENSEMBLE TECHNIQUES; EVOLUTIONARY COMPUTATION; JOINT SET; KNOWLEDGE FUSION; KNOWLEDGE MODEL; MACHINE LEARNING ALGORITHMS; MAS; MONOLITHIC SOLUTIONS; MULTI-AGENT LEARNING; REAL-LIFE APPLICATIONS;

EID: 70350527009     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87656-4_11     Document Type: Conference Paper
Times cited : (1)

References (9)
  • 5
    • 80053403826 scopus 로고    scopus 로고
    • Dietterich, T.G.: Ensemble Methods in Machine Learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS 1857, pp. 1-15. Springer, Heidelberg (2000)
    • Dietterich, T.G.: Ensemble Methods in Machine Learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS 1857, pp. 1-15. Springer, Heidelberg (2000)
  • 6
    • 70350549748 scopus 로고    scopus 로고
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
  • 8
    • 70350539110 scopus 로고    scopus 로고
    • http://www.ics.uci.edu/~mlearn/MLRepository.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.