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Volumn , Issue , 2008, Pages 2048-2054

Connection between SVM+ and multi-task learning

Author keywords

[No Author keywords available]

Indexed keywords

EDUCATION; LEARNING SYSTEMS; LINEARIZATION; NEURAL NETWORKS; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

EID: 56349168083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4634079     Document Type: Conference Paper
Times cited : (49)

References (9)
  • 1
    • 27844439373 scopus 로고    scopus 로고
    • Ando, R. and Zhang, T. A Framework for Learning predictive structures from multiple tasks and unlabeled data, Journal of Machine Learning Research, 2005.
    • Ando, R. and Zhang, T. A Framework for Learning predictive structures from multiple tasks and unlabeled data, Journal of Machine Learning Research, 2005.
  • 2
    • 51749124742 scopus 로고    scopus 로고
    • A theoretical framework for learning form a pool of disparate data sources
    • Ben-David, S., Gehrke, J. and Schuller, R. A theoretical framework for learning form a pool of disparate data sources. ACM KDD, 2002.
    • (2002) ACM KDD
    • Ben-David, S.1    Gehrke, J.2    Schuller, R.3
  • 8
    • 12244250351 scopus 로고    scopus 로고
    • Evgeniou, T. and Pontil, M., Regularized multi-task learning. In Proc. 17th SIGKDD Conf. on Knowledge Discovery and Data Mining, 2004.
    • Evgeniou, T. and Pontil, M., Regularized multi-task learning. In Proc. 17th SIGKDD Conf. on Knowledge Discovery and Data Mining, 2004.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.