Scott Davies

Graduate Student

Tags

Astrostatistics, Bayesian Networks, Clustering, Efficient Statistical Algorithms, Kd-trees and Ball-trees, Markov Decision Processes, Reinforcement Learning, Statistical Data Mining for Astrophysics

Papers

• Interpolating Conditional Density Trees (2002)
  Very fast non-parametric Bayesian Network nodes
• Mixnets: Learning Bayesian Networks with mixtures of discrete and continuous attributes (2000)
  Bayes Nets with Mixture Models in the nodes
• Bayesian Networks for Lossless Dataset Compression (1999)
  Practical ways to compress large tabular datasets
• Applying online search techniques to Continuous-State reinforcement learning (1998)
  Using a specialized version of A-star to boost the performance of approximate value functions
• Multidimensional Triangulation and Interpolation for Reinforcement Learning (1997)