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Volumn , Issue , 1996, Pages 2-7

Sharing Learned Models among Remote Database Partitions by Local Meta-learning

Author keywords

[No Author keywords available]

Indexed keywords

BLACK BOX MODELLING; DATA-SOURCE; LEARN+; META LEARNING STRATEGY; METALEARNING; PERFORMANCE; REMOTE DATABASE; REMOTE SITES;

EID: 33745232255     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (12)
  • 1
    • 85173840606 scopus 로고
    • Turing Institure. Int. Dot. IND: TI/MLT/4.0T/RAB/1.2
    • Boswell, R. 1990. Manual for CNZ version 6.1. Turing Institure. Int. Dot. IND: TI/MLT/4.0T/RAB/1.2.
    • (1990) Manual for CNZ version 6.1
    • Boswell, R.1
  • 5
    • 85152630265 scopus 로고
    • A comparative evaluation of voting and metalearning on partitioned data
    • Ghan, P., and Stolfo, S. 1995. A comparative evaluation of voting and metalearning on partitioned data. In Proc. Twelfth Intl. Conf. Machine Learning, 90-98.
    • (1995) Proc. Twelfth Intl. Conf. Machine Learning , pp. 90-98
    • Ghan, P.1    Stolfo, S.2
  • 6
    • 0003087436 scopus 로고    scopus 로고
    • Scaling learning by ma-learning over disjoint and partially replicated data
    • Ghan, P:, and To appear
    • Ghan, .P:, and Stolfo, S. 1996. Scaling learning by ma-learning over disjoint and partially replicated data. In Proc. Florida AI Research Symposium. To appear.
    • (1996) Proc. Florida AI Research Symposium
    • Stolfo, S.1
  • 8
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • Clark, P., and Niblett, T. 1989. The CN2 induction algorithm. Machine Learning 3:261-285.
    • (1989) Machine Learning , vol.3 , pp. 261-285
    • Clark, P.1    Niblett, T.2
  • 9
    • 2342657119 scopus 로고
    • Learning to represent codons: A challenge problem for constructive induction
    • Craven, M., and Shavlik, J. 1993. Learning to represent codons: A challenge problem for constructive induction. In Proc. IJCAI-93, 1319-1324.
    • (1993) Proc. IJCAI-93 , pp. 1319-1324
    • Craven, M.1    Shavlik, J.2
  • 10
    • 0023803244 scopus 로고
    • Predicting the secondary structure of globular proteins using neural network models
    • Qian, N., and Sejnowski, T. 1988. Predicting the secondary structure of globular proteins using neural network models. J. Mol. Sol. 202:865-884.
    • (1988) J. Mol. Sol , vol.202 , pp. 865-884
    • Qian, N.1    Sejnowski, T.2
  • 11
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J. R. 1986. Induction of decision trees. Machine Learning 1:81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J. R.1
  • 12
    • 85158010005 scopus 로고
    • Refinement of approximate domain theories by knowledge-based neural networks
    • Towell, G.; Shavlik, J.; and Noordewier, M. 1990. Refinement of approximate domain theories by knowledge-based neural networks. In Proc. AAAI-90, 861-866.
    • (1990) Proc. AAAI-90 , pp. 861-866
    • Towell, G.1    Shavlik, J.2    Noordewier, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.