STatistical AI Reading Group previous readings: September-December, 2004

September 20th (Stairmaster: Luke):
  1. A Random Forest Approach to Relational Learning, by Anneleen Van Assche, Celine Vens, Hendrik Blockeel and Saso Dzeroski.
  2. Aggregation-based Feature Invention and Relational Concept Classes, by Perlich, C. and F. Provost.
October 4th (Stairmaster: Hanna):
  1. Learning Probabilistic Models of Link Structure, by L. Getoor, N. Friedman, D. Koller, B. Taskar. Journal of Machine Learning Research, 2002.
October 11th: Indigenous People's Day
    October 18th (Stairmaster: Natalia):
    1. Markov Logic: A Unifying Framework for Statistical Relational Learning, by Pedro Domingos and Matt Richardson.
    Nov 1st (Stairmaster: Hanna):
    1. BLOG: Relational Modeling with Unknown Objects, by B. Milch, B. Marthi, and S. Russell.
    Nov 8th (Stairmaster: Natalia):
    1. The Schema Mechanism, by Gary Drescher. Photocopies available outside 32-G480.
    Nov 15th (Stairmaster: Luis):
    1. Case-factor diagrams for structured probabilistic modeling, by David McAllester, Michael Collins and Fernando Pereira.
    Nov 15th (Stairmaster: Meg):
    1. Relational Reinforcement Learning: An Overview, by P. Tadepalli, R. Givan, and K. Driessens, Proceedings of the ICML'04 Workshop on Relational Reinforcement Learning (Tadepalli, P. and Givan, R. and Driessens, K., eds.), pp. 1-9, 2004