Laura Brown

Laura Brown


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Assistant Professor, Computer Science

  • PhD, Biomedical Informatics, Vanderbilt University
  • MS, Biomedical Informatics, Vanderbilt University
  • MSE, Electrical Engineering and Computer Science, University of Michigan
  • BS, Engineering, Swarthmore College

Links of Interest

Area of Expertise

  • Algorithms for learning the structure of Bayesian networks
  • Local causal discovery methods for identification of parents and children or Markov Blankets
  • Methods for variable selection on high-dimensional data sets

Recent Publications

  • L.E. Brown, I.Tsamardinos, D. Hardin. "To Feature Space and Back: Identifying Top-Weighted Features in Polynomial Support Vector Machine Models" Accepted Intelligent Data Analysis
  • L.E. Brown, I. Tsamardinos, "A Strategy for Making Predictions Under Manipulation" JMLR W&CP 3:35-52, 2008. Read More
  • I. Tsamardinos, L.E. Brown, "Bounding the False Discovery Rate in Local Bayesian Network Learning" in Proceedings of the 23rd Conference on Artificial Intelligence (AAAI), July 2008. Read More
  • J.W. Dexheimer, L.E. Brown, J. Leegon, D. Aronsky, "Comparing Decision Support Methodologies for Identifying Asthma Exacerbations" in Proceedings of 12th World Congress on Medical Informatics (MEDINFO), August 2007. Read More
  • I. Tsamardinos, L.E. Brown, C.F. Aliferis, "The Max-Min Hill-Climbing Bayesian Network Structure Learning Algorithm" Machine Learning 65 (1): 31-78, Oct. 2006. Read More
  • I. Tsamardinos, A. Statnikov, L.E. Brown, C.F. Aliferis, "Generating Realistic Large Bayesian Networks by Tiling" in Proceedings of the 19th International Florida Artificial Intelligence Research Society Conference (FLAIRS), May 2006. Read More