Recent Submissions

  • Causal Discovery Methods for Climate Networks 

    Ebert-Uphoff, Imme; Deng, Yi (Georgia Institute of Technology, 2010-12-20)
    This paper suggests new methods for the development of network models in climate research. Current climate networks, first introduced in 2004 by Tsonis and Roebber, define network edges based on correlation of node pairs, ...
  • A Probability-Based Approach to Soft Discretization for Bayesian Networks 

    Ebert-Uphoff, Imme (Georgia Institute of Technology, 2009-09-22)
    This report discusses how soft discretization can be implemented to train a discrete Bayesian Network directly from continuous data. The method consists of a soft discretization step that converts the continuous variables ...
  • Tutorial on How to Measure Link Strengths in Discrete Bayesian Networks 

    Ebert-Uphoff, Imme (Georgia Institute of Technology, 2009-09-02)
    This report discusses measures for link strength in Discrete Bayesian Networks, i.e. measures for the strength of connection along a specific edge. It is a revised version of Report GT-IIC-07-01 (Jan 2007) with ...