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Volumn , Issue , 2004, Pages 711-718

Towards tight bounds for rule learning

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PERTURBATION TECHNIQUES; RANDOM PROCESSES; VECTORS;

EID: 14344263324     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. (2001). Random forests. Machine Learning, 45, 5-32.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.