• A Bayesian View of Boosting and Its Extension 

      Bobick, Aaron F.; Essa, Irfan A.; Shi, Yifan (Georgia Institute of Technology, 2005)
      In this paper, we provide a Bayesian perspective of boosting framework, which we refer to as Bayesian Integration. Through this perspective, we prove the standard ADABOOST is a special case of the naive Bayesian tree with ...
    • Boosted Bayesian Network Classifiers 

      Jing, Yushi; Pavlovic, Vladimir; Rehg, James M. (Georgia Institute of Technology, 2005)
      The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning method tends to be suboptimal due to the ...