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Volumn 1, Issue , 2007, Pages 651-656

Semi-supervised learning by mixed label propagation

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY FUNCTIONS; MIXED LABEL PROPAGATION;

EID: 36348935562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (19)
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  • 6
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    • The use of multiple measurements in taxonomie problems
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    • Fisher, R.A.1
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    • 0842290958 scopus 로고    scopus 로고
    • An efficient boosting algorithm for combining preferences
    • Freund, Y.; Lyer, R. D.; Schapire, R. E.; and Singer, Y. 1998. An efficient boosting algorithm for combining preferences. In ICML'98.
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  • 8
    • 36348998315 scopus 로고    scopus 로고
    • Dissimilarity in graph-based semi-supervised classification
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  • 10
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    • Hofmann, T.1
  • 11
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    • Joachims, T. 2003. Transductive learning via spectral graph partitioning. In ICML'03.
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    • Joachims, T.1
  • 12
    • 31844447616 scopus 로고    scopus 로고
    • Semi-supervised graph clustering: A kernel approach
    • Kulis, B.; Basu, S.; Dhillon, I.; and Mooney, R. J. 2005. Semi-supervised graph clustering: A kernel approach. In ICML'05.
    • (2005) ICML , vol.5
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.