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Volumn 2, Issue , 2012, Pages 1151-1158

Output space search for structured prediction

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DOMAINS; CLASSIFICATION LEARNING; FUNCTION LEARNING; LEAST COST; LOSS FUNCTIONS; SEARCH PROCEDURES; SEARCH SPACES; SPACE SEARCH; STRUCTURED PREDICTION; TECHNICAL CONTRIBUTION;

EID: 84867115317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (16)
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  • 3
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    • Approximate policy iteration with a policy language bias: Solving relational Markov decision processes
    • Fern, Alan, Yoon, Sung Wook, and Givan, Robert. Approximate policy iteration with a policy language bias: Solving relational Markov decision processes. JAIR, 25:75-118, 2006.
    • (2006) JAIR , vol.25 , pp. 75-118
    • Fern, A.1    Yoon, S.W.2    Givan, R.3
  • 4
    • 67349244372 scopus 로고    scopus 로고
    • Search-based structured prediction
    • Hal Daumé III, Langford, John, and Marcu, Daniel. Search-based structured prediction. MLJ, 75(3):297-325, 2009.
    • (2009) MLJ , vol.75 , Issue.3 , pp. 297-325
    • Daumé III, H.1    Langford, J.2    Marcu, D.3
  • 5
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    • Limited discrepancy search
    • Harvey, William D. and Ginsberg, Matthew L. Limited discrepancy search. In IJCAI, 1995.
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    • Harvey, W.D.1    Ginsberg, M.L.2
  • 7
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    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Lafferty, John, McCallum, Andrew, and Pereira, Fernando. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, 2001.
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    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 8
    • 80052900085 scopus 로고    scopus 로고
    • Efficient reductions for imitation learning
    • Ross, Stéphane and Bagnell, Drew. Efficient reductions for imitation learning. In AISTATS, 2010.
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    • Ross, S.1    Bagnell, D.2
  • 9
    • 84867135104 scopus 로고    scopus 로고
    • A reduction of imitation learning and structured prediction to no-regret online learning
    • Ross, Stéphane, Gordon, Geoffery, and Bagnell, Drew. A reduction of imitation learning and structured prediction to no-regret online learning. In AISTATS, 2011.
    • (2011) AISTATS
    • Ross, S.1    Gordon, G.2    Bagnell, D.3
  • 10
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    • A reduction from apprenticeship learning to classification
    • Syed, Umar and Schapire, Rob. A reduction from apprenticeship learning to classification. In NIPS, 2010.
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    • Support vector machine learning for interdependent and structured output spaces
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    • Structured prediction cascades
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.