Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), New York City, NY, USA, June 25, 2016 - researchr publication

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Rommel Novaes Carvalho, Kathryn Blackmond Laskey, editors, Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), New York City, NY, USA, June 25, 2016. Volume 1663 of CEUR Workshop Proceedings, CEUR-WS.org, 2016. [doi]

Conference: uai2016

Abstract is missing.

A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian NetworkJidapa Kraisangka, Marek J. Druzdzel, Raymond L. Benza. 1-6 [doi]

Measuring the Risk of Public Contracts Using Bayesian ClassifiersLeonardo Jorge Sales, Rommel Novaes Carvalho. 7-13 [doi]

Bayesian Networks on Income Tax Audit Selection - A Case Study of Brazilian Tax AdministrationLeon Sólon da Silva, Henrique Rigitano, Rommel Novaes Carvalho, João Carlos Felix Souza. 14-20 [doi]

Target Beliefs for SME-oriented Bayesian Network-based ModelingRobert Schrag, Edward Wright, Robert Kerr, Robert Johnson. 21-27 [doi]

Bayesian Models to Assess Risk of Corruption of Federal Management UnitsRicardo Silva Carvalho, Rommel Novaes Carvalho. 28-35 [doi]

The Efficacy of the POMDP-RTI Approach for Early Reading InterventionUmit Tokac, Russell G. Almond. 36-43 [doi]

A Probabilistic Approach for Detection and Analysis of Cognitive FlowDebatri Chatterjee, Aniruddha Sinha, Meghamala Sinha, Sanjoy Kumar Saha. 44-53 [doi]

Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving PerformanceAnthony C. Constantinou, Norman E. Fenton. 54-55 [doi]

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