Browsing AI Memos (1959 - 2004) by Author "Jaakkola, Tommi S."

Now showing items 1-2 of 2

    • On the Dirichlet Prior and Bayesian Regularization 

      Steck, Harald; Jaakkola, Tommi S. (2002-09-01)
      A common objective in learning a model from data is to recover its network structure, while the model parameters are of minor interest. For example, we may wish to recover regulatory networks from high-throughput data ...

    • (Semi-)Predictive Discretization During Model Selection 

      Steck, Harald; Jaakkola, Tommi S. (2003-02-25)
      In this paper, we present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of predictive accuracy, which ...