| Vol-1024 urn:nbn:de:0074-1024-0 Copyright © 2013 for the individual papers by the papers' authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.

# UAI2013AW 2013
UAI 2013 Application Workshops

### Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, Temporal and Network Data
co-located with Uncertainty in Artificial Intelligence (UAI 2013)

### Bellvue, Washington, USA, July 15th, 2013.

Edited by

### Russell Almond, Florida State University, USA
Ole Mengshoel, Carnegie Mellon University, USA

## Table of Contents

- Preface

### Part I: Big Data meet Complex Models

1. Debugging the Evidence Chain 1-10
   Russell Almond, Yoon Jeon Kim, Valerie Shute, Matthew Ventura
2. Bayesian Supervised Dictionary learning‎11-19
   Behnam Babagholami-Mohamadabadi, Amin Jourabloo, Mohammadreza Zolfaghari, Mohammad. T Manzuri-Shalmani
3. Identifying Learning Trajectories in an Educational Video Game 20-28
   Deirdre Kerr, Gregory K.W.K. Chung
4. Transforming Personal Artifacts into Probabilistic Narratives 29-38
   Setareh Rafatirad, Kathryn Laskey
5. Learning Parameters by Prediction Markets and Kelly Rule for Graphical Models 39-48
   Wei Sun, Robin Hanson, Kathryn Laskey, Charles Twardy
6. Predicting Latent Variables with Knowledge and Data: A Case Study in Trauma Care 49-49
   Barbaros Yet, William Marsh, Zane Perkins, Nigel Tai, Norman Fenton

### Part II: Models for Spatial, Temporal, and Network Data

1. A Lightweight Inference Method for Image Classification 50-57
   John Agosta, Preeti Pillai
2. Product Trees for Gaussian Process Covariance in Sublinear Time 58-66
   David A. Moore, Stuart Russell
3. Latent Topic Analysis for Predicting Group Purchasing Behavior on the Social Web 67-76
   Feng-Tso Sun, Yi-Ting Yeh, Ole Mengshoel, Martin Griss
4. An Object-oriented Spatial and Temporal Bayesian Network for Managing Willows in an American Heritage River Catchment 77-86
   Lauchlin A.T. Wilkinson, Yung En Chee, Ann Nicholson, Pedro Quintana-Ascencio
5. Exploring Multiple Dimensions of Parallelism in Junction Tree Message Passing 87-96
   Lu Zheng, Ole Mengshoel

The whole proceedings can also be downloaded as a single file (PDF, including title pages, preface, and table of contents).

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2013-08-25: submitted by Russell Almond
2013-08-25: published on CEUR-WS.org