Brigham Anderson

Postdoc

Tags

Active Learning, AD-trees, Applications, Association Rules, Astrostatistics, Efficient Statistical Algorithms, Locally Weighted Learning, Memory-based Learning, Optimization, Reinforcement Learning, Statistical Data Mining for Astrophysics

Papers

• Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology (2004)
  Determining the shapes of millions of galaxies.
• A Nonparametric Approach to Noisy and Costly Optimization (2000)
  Optimizing a noisy process in a possibly discontinuous or non-euclidian space.
• AD-trees for Fast Counting and for Fast Learning of Association Rules (1998)
  Using AD-trees to learn conjunctive rules via beam search.