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Volumn 3201, Issue , 2004, Pages 441-452

Inducing polynomial equations for regression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; HEURISTIC METHODS; LEARNING SYSTEMS; PERFORMANCE; POLYNOMIALS; ARTIFICIAL INTELLIGENCE; FORESTRY;

EID: 22944433205     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30115-8_41     Document Type: Conference Paper
Times cited : (13)

References (15)
  • 5
    • 0013058304 scopus 로고
    • Integrating quantitative and qualitative discovery in the ABACUS system
    • Morgan Kaufmann, San Mateo, CA
    • B. Falkenhainer and R. Michalski. Integrating quantitative and qualitative discovery in the ABACUS system. In Machine Learning: An Artificial Intelligence Approach, volume 3, pages 153-190. Morgan Kaufmann, San Mateo, CA, 1990.
    • (1990) Machine Learning: An Artificial Intelligence Approach , vol.3 , pp. 153-190
    • Falkenhainer, B.1    Michalski, R.2
  • 7
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines (with discussion)
    • J. Friedman. Multivariate adaptive regression splines (with discussion). Annals of Statistics, 19:1-141, 1991.
    • (1991) Annals of Statistics , vol.19 , pp. 1-141
    • Friedman, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.