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Volumn 1, Issue , 2013, Pages 24-28

Bayesian multi-source domain adaptation

Author keywords

Bayesian framework; Laplacian matrix; multi source domain adaptation

Indexed keywords

ARTIFICIAL INTELLIGENCE; LAPLACE TRANSFORMS; LEARNING SYSTEMS;

EID: 84907265097     PISSN: 2160133X     EISSN: 21601348     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2013.6890438     Document Type: Conference Paper
Times cited : (38)

References (14)
  • 11
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Jun.
    • M. Belkin, and P. Niyogi, "Laplacian Eigenmaps for Dimensionality Reduction and Data Representation", Neural Computation, Vol 15, pp. 1373-1396, Jun. 2003.
    • (2003) Neural Computation , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 12
    • 84255197089 scopus 로고    scopus 로고
    • Multi-view laplacian support vector machines
    • Dec.
    • S. Sun, "Multi-view Laplacian Support Vector Machines", Lecture Notes in Artificial Intelligence, Vol 7121, pp. 209-222, Dec. 2011.
    • (2011) Lecture Notes in Artificial Intelligence , vol.7121 , pp. 209-222
    • Sun, S.1
  • 13
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Apr.
    • T. Joachims, "Text Categorization with Support Vector Machines: Learning with Many Relevant Features", European Conference on Machine Learning, pp. 137-142, Apr. 1998.
    • (1998) European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 14
    • 80052955921 scopus 로고    scopus 로고
    • A review of optimization methodologies in support vector machines
    • Oct.
    • J. Shawe-Taylor, and S. Sun, "A Review of Optimization Methodologies in Support Vector Machines", Neurocomputing, Vol 74, pp. 3609-3618, Oct. 2011.
    • (2011) Neurocomputing , vol.74 , pp. 3609-3618
    • Shawe-Taylor, J.1    Sun, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.