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Volumn , Issue , 2010, Pages 1295-1302

Greedy learning of markov network structure

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL SCIENCE; BOUNDED DEGREE; CENTRAL PROBLEMS; CONDITIONAL ENTROPY; DEGREE BOUNDS; DISCRETE RANDOM VARIABLES; GAUSSIANS; GRAPH STRUCTURES; GRAPHICAL MODEL; GREEDY LEARNING; MARKOV NETWORKS; MARKOV RANDOM FIELD; MODEL SELECTION; NP-HARD; STRUCTURE RECOVERY; STRUCTURE-LEARNING; SUFFICIENT CONDITIONS; UNDERLYING DISTRIBUTION;

EID: 79952428571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ALLERTON.2010.5707063     Document Type: Conference Paper
Times cited : (35)

References (13)
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    • Srebro, N.1
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    • The complexity of distinguishing markov random fields
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    • Bogdanov, A.1    Mossel, E.2    Vadhan, S.P.3
  • 6
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    • High-dimensional graphical model selection using l1-regularized logistic regression
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    • Banerjee, O.1    El Ghaoui, L.2    D'Aspremont, A.3
  • 8
    • 51849099933 scopus 로고    scopus 로고
    • Reconstruction of markov random fields from samples: Some observations and algorithms
    • Springer-Verlag
    • G. Bresler, E. Mossel, and A. Sly, "Reconstruction of markov random fields from samples: Some observations and algorithms," in APPROX '08 / RANDOM '08, (Berlin, Heidelberg), pp. 343-356, Springer-Verlag, 2008.
    • (2008) APPROX '08 / RANDOM '08, (Berlin, Heidelberg) , pp. 343-356
    • Bresler, G.1    Mossel, E.2    Sly, A.3
  • 9
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    • Learning factor graphs in polynomial time and sample complexity
    • P. Abbeel, D. Koller, and A. Y. Ng, "Learning factor graphs in polynomial time and sample complexity," J. Mach. Learn. Res., vol. 7, pp. 1743-1788, 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.