메뉴 건너뛰기




Volumn 2, Issue , 2007, Pages 43-50

Kernel multi-task learning using task-specific features

Author keywords

[No Author keywords available]

Indexed keywords

CODE TRANSFORMATION; DATA SETS; GAUSSIAN PROCESSES; MULTITASK LEARNING; PERFORMANCE PREDICTION;

EID: 84862299277     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (68)

References (18)
  • 1
    • 0346238931 scopus 로고    scopus 로고
    • Task clustering and gating for Bayesian multitask learning
    • Bakker, B. and Heskes, T. (2003). Task Clustering and Gating for Bayesian Multitask Learning. Journal of Machine Learning Research, 4:83-99.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 83-99
    • Bakker, B.1    Heskes, T.2
  • 3
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • Caruana, R. (1997). Multitask Learning. Machine Learning, 28(1):41-75.
    • (1997) Machine Learning , vol.28 , Issue.1 , pp. 41-75
    • Caruana, R.1
  • 9
    • 4644299010 scopus 로고    scopus 로고
    • A first-order superscalar processor model
    • Karkhanis, T. S. and Smith, J. E. (2004). A first-order superscalar processor model. In ISCA.
    • (2004) ISCA
    • Karkhanis, T.S.1    Smith, J.E.2
  • 11
    • 0021427712 scopus 로고
    • Principal variables
    • McCabe, G. P. (1984). Principal variables. Technometrics, 26(2):137-144.
    • (1984) Technometrics , vol.26 , Issue.2 , pp. 137-144
    • McCabe, G.P.1
  • 15
    • 0041494227 scopus 로고    scopus 로고
    • Is learning the n-th thing any easier than learning the first?
    • Thrun, S. (1996). Is Learning the n-th Thing Any Easier Than Learning the First? In NIPS 8.
    • (1996) NIPS 8
    • Thrun, S.1
  • 18
    • 31844442664 scopus 로고    scopus 로고
    • Learning Gaussian processes from multiple tasks
    • Yu, K., Tresp, V., and Schwaighofer, A. (2005). Learning Gaussian Processes from Multiple Tasks. In ICML.
    • (2005) ICML
    • Yu, K.1    Tresp, V.2    Schwaighofer, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.