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Volumn 50, Issue , 2014, Pages 369-707

HC-Search: A learning framework for search-based structured prediction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COST FUNCTIONS; IMAGE SEGMENTATION; SEMANTICS;

EID: 84902808499     PISSN: None     EISSN: 10769757     Source Type: Journal    
DOI: 10.1613/jair.4212     Document Type: Article
Times cited : (48)

References (73)
  • 3
    • 24044449704 scopus 로고    scopus 로고
    • Learning evaluation functions to improve optimization by local search
    • (JMLR)
    • Boyan, J. A., & Moore, A. W. (2000). Learning Evaluation Functions to Improve Optimization by Local Search. Journal of Machine Learning Research (JMLR), 1, 77-112.
    • (2000) Journal of Machine Learning Research , vol.1 , pp. 77-112
    • Boyan, J.A.1    Moore, A.W.2
  • 4
    • 84867919822 scopus 로고
    • Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging
    • Brill, E. (1995). Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging. Computational Linguistics, 21 (4), 543-565.
    • (1995) Computational Linguistics , vol.21 , Issue.4 , pp. 543-565
    • Brill, E.1
  • 6
    • 84865223146 scopus 로고    scopus 로고
    • Structured learning with constrained conditional models
    • Chang, M.-W., Ratinov, L.-A., & Roth, D. (2012). Structured Learning with Constrained Conditional Models. Machine Learning Journal (MLJ), 88 (3), 399-431.
    • (2012) Machine Learning Journal (MLJ) , vol.88 , Issue.3 , pp. 399-431
    • Chang, M.-W.1    Ratinov, L.-A.2    Roth, D.3
  • 10
    • 85045072379 scopus 로고    scopus 로고
    • Ranking algorithms for named entity extraction: Boosting and the voted perceptron
    • Collins, M. (2002). Ranking Algorithms for Named Entity Extraction: Boosting and the Voted Perceptron. In ACL.
    • (2002) ACL
    • Collins, M.1
  • 13
    • 31844433245 scopus 로고    scopus 로고
    • Learning as search optimization: Approximate large margin methods for structured prediction
    • Daumé III, H., & Marcu, D. (2005). Learning as Search Optimization: Approximate Large margin methods for Structured Prediction. In ICML.
    • (2005) ICML
    • Daumé III, H.1    Marcu, D.2
  • 14
    • 0037878134 scopus 로고
    • A comparison of ID3 and backpropagation for english text-to-speech mapping
    • Dietterich, T. G., Hild, H., & Bakiri, G. (1995). A Comparison of ID3 and Backpropagation for English Text-to-Speech Mapping. Machine Learning Journal (MLJ), 18 (1), 51-80.
    • (1995) Machine Learning Journal (MLJ) , vol.18 , Issue.1 , pp. 51-80
    • Dietterich, T.G.1    Hild, H.2    Bakiri, G.3
  • 24
    • 33744466799 scopus 로고    scopus 로고
    • Approximate policy iteration with a policy language bias: Solving relational markov decision processes
    • Fern, A., Yoon, S. W., & Givan, R. (2006). Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes. Journal of Artificial Intelligence Research (JAIR), 25, 75-118. (Pubitemid 43800043)
    • (2006) Journal of Artificial Intelligence Research , vol.25 , pp. 75-118
    • Fern, A.1    Yoon, S.2    Givan, R.3
  • 29
    • 84886453219 scopus 로고    scopus 로고
    • Efficient learning of structured predictors in general graphical models
    • abs/1210.2346
    • Hazan, T., & Urtasun, R. (2012). Efficient Learning of Structured Predictors in General Graphical Models. CoRR, abs/1210.2346.
    • (2012) CoRR
    • Hazan, T.1    Urtasun, R.2
  • 35
  • 36
  • 43
    • 57349126314 scopus 로고    scopus 로고
    • Algorithms for deterministic incremental dependency parsing
    • Nivre, J. (2008). Algorithms for Deterministic Incremental Dependency Parsing. Computational Linguistics, 34 (4), 513-553.
    • (2008) Computational Linguistics , vol.34 , Issue.4 , pp. 513-553
    • Nivre, J.1
  • 45
    • 84879983409 scopus 로고    scopus 로고
    • SLEDGE: Sequential labeling of image edges for boundary detection
    • Payet, N., & Todorovic, S. (2013). SLEDGE: Sequential Labeling of Image Edges for Boundary Detection. International Journal of Computer Vision (IJCV), 104 (1), 15-37.
    • (2013) International Journal of Computer Vision (IJCV) , vol.104 , Issue.1 , pp. 15-37
    • Payet, N.1    Todorovic, S.2
  • 47
    • 83155175374 scopus 로고    scopus 로고
    • Classifier chains for multi-label classification
    • Read, J., Pfahringer, B., Holmes, G., & Frank, E. (2011). Classifier Chains for Multi-Label Classification. Machine Learning, 85 (3), 333-359.
    • (2011) Machine Learning , vol.85 , Issue.3 , pp. 333-359
    • Read, J.1    Pfahringer, B.2    Holmes, G.3    Frank, E.4
  • 56
    • 72449149168 scopus 로고    scopus 로고
    • Piecewise training for structured prediction
    • Sutton, C. A., & McCallum, A. (2009). Piecewise Training for Structured Prediction. Machine Learning Journal (MLJ), 77 (2-3), 165-194.
    • (2009) Machine Learning Journal (MLJ) , vol.77 , Issue.2-3 , pp. 165-194
    • Sutton, C.A.1    McCallum, A.2
  • 61
    • 33846249578 scopus 로고    scopus 로고
    • Semantic modeling of natural scenes for content-based image retrieval
    • DOI 10.1007/s11263-006-8614-1
    • Vogel, J., & Schiele, B. (2007). Semantic Modeling of Natural Scenes for Content-Based Image Retrieval. International Journal of Computer Vision (IJCV), 72 (2), 133-157. (Pubitemid 46094757)
    • (2007) International Journal of Computer Vision , vol.72 , Issue.2 , pp. 133-157
    • Vogel, J.1    Schiele, B.2
  • 67
    • 68949158542 scopus 로고    scopus 로고
    • Learning linear ranking functions for beam search with application to planning
    • Xu, Y., Fern, A., & Yoon, S. (2009a). Learning Linear Ranking Functions for Beam Search with Application to planning. The Journal of Machine Learning Research, 10, 1571-1610.
    • (2009) The Journal of Machine Learning Research , vol.10 , pp. 1571-1610
    • Xu, Y.1    Fern, A.2    Yoon, S.3
  • 68
    • 68949158542 scopus 로고    scopus 로고
    • Learning linear ranking functions for beam search with application to planning
    • Xu, Y., Fern, A., & Yoon, S. W. (2009b). Learning Linear Ranking Functions for Beam Search with Application to Planning. Journal of Machine Learning Research (JMLR), 10, 1571-1610.
    • (2009) Journal of Machine Learning Research (JMLR) , vol.10 , pp. 1571-1610
    • Xu, Y.1    Fern, A.2    Yoon, S.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.