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Volumn , Issue , 2008, Pages 45-56

The true sample complexity of active learning

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; LINEAR SEPARATORS; LOWER BOUNDS; NON-HOMOGENEOUS; NUMBER OF SAMPLES; SAMPLE COMPLEXITY;

EID: 84860640656     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (16)
  • 1
    • 0031698444 scopus 로고    scopus 로고
    • Strong minimax lower bounds for learning
    • A. Antos and G Lugosi. Strong minimax lower bounds for learning. Machine Learning, 30: 31-56, 1998.
    • (1998) Machine Learning , vol.30 , pp. 31-56
    • Antos, A.1    Lugosi, G.2
  • 3
    • 38049069430 scopus 로고    scopus 로고
    • A PAC-style model for learning from labeled and unlabeled data
    • Book chapter O. Chapelle and B. Schlkopf and A. Zien, eds., MIT press
    • M.-F. Balcan and A. Blum. A PAC-style model for learning from labeled and unlabeled data. Book chapter in "Semi-Supervised Learning", O. Chapelle and B. Schlkopf and A. Zien, eds., MIT press, 2006.
    • (2006) Semi-Supervised Learning
    • Balcan, M.-F.1    Blum, A.2
  • 6
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • D. Cohn, L. Atlas, and R. Ladner. Improving generalization with active learning. Machine Learning, 15(2): 201-221, 1994.
    • (1994) Machine Learning , vol.15 , Issue.2 , pp. 201-221
    • Cohn, D.1    Atlas, L.2    Ladner, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.