The Bayesian Modeling Applications Workshop (BMAW) has been held in conjunction with the annual Conference on Uncertainty in Arti cial Intelligence twelve times since 2003. The workshop brings together researchers and practitioners who apply the technologies pioneered by the UAI community to address important real-world problems in a diverse set of elds. The workshop fosters discussion on the challenges of building applications, such as understanding and addressing stakeholder needs; integrating Bayesian models and tools into larger applications; validating models; interacting with users; construction of models through knowledge elicitation and learning; agile model and system development strategies; and deploying and managing webbased Bayesian applications.
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Project Cost, Bene t and Risk Analysis using Bayesian Networks : : : : : : : Barbaros Yet, Anthony Constantinou, Norman Fenton, Martin Neil, Eike Luedeling and Keith Shepherd Bayesian Optimisation of Gated Bayesian Networks for Algorithmic Trading : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :
Marcus Bendtsen A Tool for Visualising the Output of a DBN for Fog Forecasting : : : : : : : :
Tal Boneh, Xuhui Zhang, Ann Nicholson and Kevin Korb
An IRT-based Parameterization for Conditional Probability Tables : : : : : :
Russell Almond Bayesian Network Models for Adaptive Testing : : : : : : : : : : : : : : : : : : : : : : :
Martin Plajner and Jirka Vomlel Computer Adaptive Testing Using the Same-Decision Probability : : : : : : :
Suming Chen, Arthur Choi and Adnan Darwiche Vehicle and Aircraft Applications In uence Diagrams for the Optimization of a Vehicle Speed Pro le : : : : : :
Vaclav Kratochv l and Jirka Vomlel Bayesian Predictive Modelling: Application to Aircraft Short-Term Con ict Alert System : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : Vitaly Schetinin, Livija Jakaite and Wojtek Krzanowski 1 2 12 14 24 34 44 54 John Mark Agosta Russell Almond Rommel Novaes Carvalho