BMAW12                                                                                                                                    Table of Contents


Table of Contents

Using POMDPs to Forecast Kindergarten Students’ Reading Comprehension . . . . . . . . . . . . . . . . . . . .                                                       1
 Russell Almond, Umit Tokac and Stephanie Al Ortaiba
High-Level Information Fusion with Bayesian Semantics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                                   8
  Paulo Costa, Kathryn Laskey, Kuochu Chang, Wei Sun, Cheol Park and Shou Matsumoto
Goal-Based Person Tracking Using a First-Order Probabilistic Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
 Thomas Geier, Stephan Reuter, Klaus Dietmayer and Susanne Biundo
Contrasting Temporal Bayesian Network Models for Analyzing HIV Mutations . . . . . . . . . . . . . . . . . . 26
 Pablo Hernandez-Leal, Lindsey Fiedler Cameras, Alma Rios-Flores, Jesus A. Gonzalez and L.
 Enrique Sucar
Incorporating Metadata into Dynamic Topic Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
  Tianxi Li, Branislav Kveton, Yu Wu and Ashwin Kashyap
Reactive Bayesian Network Computation using Feedback Control: An Empirical Study . . . . . . . . . . . 44
  Ole Mengshoel, Abe Ishihara and Erik Reed
A State-Transition DBN for Management of Willows in an American Heritage River Catchment . . . 55
  Ann Nicholson, Yung En Chee and Pedro Quintana-Ascencio
Conjoint Modeling of Temporal Dependencies in Event Streams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
 Ankur Parikh, Asela Gunawardana and Chris Meek
Topics Over Nonparametric Time: A Supervised Topic Model Using Bayesian Nonparametric
Density Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74
  Daniel Walker, Eric Ringger and Kevin Seppi
On Approximate Inference of Dynamic Latent Classification Models for Oil Drilling Monitoring . . . 84
 Shengtong Zhong




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