Results 201 to 210 of about 2,176 (251)

Can alternative means of phenotyping rheumatoid arthritis reduce its apparent heterogeneity? A comparison of three disease activity classifications with DAS28. [PDF]

RMD Open
Steiger S, Westerlind H, Di Giuseppe D, Askling J.   +3 more
europepmc   +1 more source

Cortical regulation of collective social dynamics during environmental challenge. [PDF]

Nat Neurosci
Raam T, Li Q, Gu L, Elagio GM, Lim KY, Taimish JY, Zhang X, Sandoval NP, Correa SM, Hong W.   +9 more
europepmc   +1 more source

Characterization and Clinical Diagnostic Potential of IHRDEGs in Renal Interstitial Fibrosis: An Integrative Data Analysis and Model Construction Study. [PDF]

J Inflamm Res
Zhang J, Dang X, Dai E.
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A causal inference method for athletic injuries based on quantile threshold functions and latent Gaussian DAG models. [PDF]

Front Public Health
Xie T, Hao Y, Xie F.
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Predictive slope stability early warning model based on CatBoost. [PDF]

Sci Rep
Cai Y, Yuan Y, Zhou A.
europepmc   +1 more source

The adaptive engagement framework: enhancing banking customer experience through AI-powered invisible marketing. [PDF]

Sci Rep
Shahbazi A, Behtaji S, Tajiki AH, Şirzad N, Darvishan S, Najafzadeh H.   +5 more
europepmc   +1 more source

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On the Minimization of (Complete) Ordered Binary Decision Diagrams

Theory of Computing Systems, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Beate Bollig, Bollig Beate
exaly   +3 more sources

Ordered binary decision diagrams and minimal trellises

IEEE Transactions on Computers, 1999
Ordered binary decision diagrams (OBDDs) are graph-based data structures for representing Boolean functions. They have found widespread use in computer-aided design and in formal verification of digital circuits. Minimal trellises are graphical representations of error-correcting codes that play a prominent role in coding theory. This paper establishes
Alexander Vardy
exaly   +2 more sources

Variable ordering algorithms for ordered binary decision diagrams and their evaluation

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1993
Ordered binary decision diagrams (OBDDs) use restricted decision trees with shared subgraphs. The ordering of variables is fixed throughout an OBDD diagram. However, the size of an OBDD is very sensitive to variable ordering, especially for large circuits.
Hironori Fujisawa
exaly   +2 more sources