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Volumn , Issue , 2010, Pages 334-343

Learning Markov network structure with decision trees

Author keywords

Decision trees; Markov networks; Probabilistic methods; Structure learning

Indexed keywords

COMPLEX INTERACTION; DATA SETS; EMPIRICAL EVALUATIONS; GLOBAL MODELS; LARGE SPACES; LOCAL MODEL; LOCAL OPTIMA; LOGISTIC REGRESSIONS; MARKOV NETWORKS; ORDERS OF MAGNITUDE; PROBABILISTIC DECISION TREES; PROBABILISTIC METHODS; PROBABILISTIC MODELS; STRUCTURE LEARNING; STRUCTURE LEARNING ALGORITHM;

EID: 79951739472     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2010.128     Document Type: Conference Paper
Times cited : (72)

References (20)
  • 1
    • 79951750271 scopus 로고    scopus 로고
    • High-dimensional ising model selection using L1-regularized logistic regression
    • P. Ravikumar, M. J. Wainwright, and J. Lafferty, "High-dimensional ising model selection using L1-regularized logistic regression," Annals of Statistics, 2009.
    • (2009) Annals of Statistics
    • Ravikumar, P.1    Wainwright, M.J.2    Lafferty, J.3
  • 4
    • 85047013878 scopus 로고    scopus 로고
    • Structured learning with approximate inference
    • A. Kulesza and F. Pereira, "Structured learning with approximate inference," in NIPS 20, 2007, pp. 785-792.
    • (2007) NIPS 20 , pp. 785-792
    • Kulesza, A.1    Pereira, F.2
  • 5
    • 0000582521 scopus 로고
    • Statistical analysis of non-lattice data
    • J. Besag, "Statistical analysis of non-lattice data," The Statistician, vol. 24, pp. 179-195, 1975.
    • (1975) The Statistician , vol.24 , pp. 179-195
    • Besag, J.1
  • 8
    • 0002425879 scopus 로고    scopus 로고
    • Loopy belief propagation for approximate inference: An empirical study
    • K. P. Murphy, Y. Weiss, and M. I. Jordan, "Loopy belief propagation for approximate inference: An empirical study," in Proc. UAI'99, 1999.
    • (1999) Proc. UAI'99
    • Murphy, K.P.1    Weiss, Y.2    Jordan, M.I.3
  • 11
    • 34547984768 scopus 로고    scopus 로고
    • Scalable training of l1-regularized log-linear models
    • G. Andrew and J. Gao, "Scalable training of l1-regularized log-linear models," in Proc. ICML'07, 2007, pp. 33-40.
    • (2007) Proc. ICML'07 , pp. 33-40
    • Andrew, G.1    Gao, J.2
  • 12
    • 33646887390 scopus 로고
    • On the limited memory BFGS method for large scale optimization
    • D. C. Liu and J. Nocedal, "On the limited memory BFGS method for large scale optimization," Mathematical Programming, vol. 45, no. 3, pp. 503-528, 1989. (Pubitemid 20660315)
    • (1989) Mathematical Programming, Series B , vol.45 , Issue.3 , pp. 503-528
    • Liu Dong, C.1    Nocedal Jorge2
  • 13
    • 70049111780 scopus 로고    scopus 로고
    • Efficient structure learning of Markov networks using L1-regularization
    • S.-I. Lee, V. Ganapathi, and D. Koller, "Efficient structure learning of Markov networks using L1-regularization," in NIPS 19, 2007, pp. 817-824.
    • (2007) NIPS 19 , pp. 817-824
    • Lee, S.-I.1    Ganapathi, V.2    Koller, D.3
  • 14
    • 33750705605 scopus 로고    scopus 로고
    • Sound and efficient inference with probabilistic and deterministic dependencies
    • Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
    • H. Poon and P. Domingos, "Sound and efficient inference with probabilistic and deterministic dependencies," in Proc. AAAI'06, 2006, pp. 458-463. (Pubitemid 44705326)
    • (2006) Proceedings of the National Conference on Artificial Intelligence , vol.1 , pp. 458-463
    • Poon, H.1    Domingos, P.2
  • 18
    • 33645657113 scopus 로고    scopus 로고
    • Improving recommendation lists through topic diversification
    • C. Ziegler, S. McNee, J. Konstan, and G. Lausen, "Improving recommendation lists through topic diversification," in Proc. WWW'05, 2005, pp. 22-32.
    • (2005) Proc. WWW'05 , pp. 22-32
    • Ziegler, C.1    McNee, S.2    Konstan, J.3    Lausen, G.4
  • 19
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A Constant Time Collaborative Filtering Algorithm
    • DOI 10.1023/A:1011419012209
    • K. Goldberg, T. Roeder, D. Gupta, and C. Perkins, "Eigentaste: A constant time collaborative filtering algorithm," Information Retrieval, vol. 4, no. 2, pp. 133-151, 2001. (Pubitemid 33636930)
    • (2001) Information Retrieval , vol.4 , Issue.2 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.