Large pseudocounts and L2 -norm penalties are necessary for the mean-field inference of Ising and Potts models

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 90, Issue 1, 2014, Pages

  Barton, J P ^a,b   Cocco, S ^c   De Leonardis, E ^c,d   Monasson, R ^c  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c CNRS   (France)

^d UMR 7238   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE NETWORKS; ISING MODEL;

ANALYTICAL STUDIES; BETTER PERFORMANCE; CORRELATED VARIABLES; DIRECT INTERACTIONS; INTERACTION NETWORKS; MEAN FIELD APPROXIMATION; REGULARIZATION SCHEMES; UNDERLYING NETWORKS;

POTTS MODEL;

NORMAL DISTRIBUTION; THEORETICAL MODEL; TIME;

MODELS, THEORETICAL; NORMAL DISTRIBUTION; TIME FACTORS;

EID: 84905453172     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.90.012132     Document Type: Article

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