메뉴 건너뛰기




Volumn , Issue , 2013, Pages 862-868

Active task selection for lifelong machine learning

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING TASKS; LEARNING TIME; LIFE LONG LEARNING; MULTITASK LEARNING; PERFORMANCE MODEL; SELECTION METHODS; THREE ORDERS OF MAGNITUDE; TRANSFER LEARNING;

EID: 84893368602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (66)

References (17)
  • 7
    • 0000695404 scopus 로고
    • Information-based objective functions for active data selection
    • MacKay, D. J. 1992. Information-based objective functions for active data selection. Neural Computation 4:590-604.
    • (1992) Neural Computation , vol.4 , pp. 590-604
    • Mackay, D.J.1
  • 13
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Tong, S., and Koller, D. 2001. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research 2:45-66.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 16
    • 55149096818 scopus 로고    scopus 로고
    • Flexible latent variable models for multi-task learning
    • Zhang, J.; Ghahramani, Z.; and Yang, Y. 2008. Flexible latent variable models for multi-task learning. Machine Learning 73(3):221-242.
    • (2008) Machine Learning , vol.73 , Issue.3 , pp. 221-242
    • Zhang, J.1    Ghahramani, Z.2    Yang, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.