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Volumn , Issue , 2009, Pages 1500-1508

Distribution matching for transduction

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INFERENCE ENGINES;

EID: 77956528369     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (20)
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  • 3
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    • Learning from labeled features using generalized expectation criteria
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    • Expectation maximization and posterior constraints
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    • J. Graça, K. Ganchev, and B. Taskar. Expectation maximization and posterior constraints. In J. C. Platt, D. Koller, Y. Singer, and S. T. Roweis, editors, NIPS. MIT Press, 2007.
    • (2007) NIPS
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  • 8
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    • Transductive inference for text classification using support vector machines
    • I. Bratko and S. Dzeroski, editors San Francisco Morgan Kaufmann Publishers
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  • 9
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    • Lafferty, J.D.1    McCallum, A.2    Pereira, F.3
  • 10
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    • Transductive Gaussian process regression with automatic model selection
    • J. Fürnkranz, T. Scheffer, and M. Spiliopoulou, editors of LNAI
    • Q.V. Le, A.J. Smola, T. Gärtner, and Y. Altun. Transductive gaussian process regression with automatic model selection. In J. Fürnkranz, T. Scheffer, and M. Spiliopoulou, editors, European Conference of Machine Learning, volume 4212 of LNAI. 306-317, 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.