[CEUR Workshop Proceedings] Vol-1023⫷ Vol-1024 ⫸Vol-1025
urn:nbn:de:0074-1024-0





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

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 learning‎ 11 - 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