------------------------------ Review Session for COLT / ICML ------------------------------ "The Alternating Decision Tree Learning Algorithm" - paper by Yoav Fruend and Llew Mason in ICML 99 - presented by John Langford "What I Learned at COLT this Summer" - presentation by Geoff Gordon - including general observations about boosting - related papers: - "Boosting as Entropy Projection" - paper by Kivinen and Warmuth in COLT 99 - presented by Geoff Gordon - "Additive Models, Boosting, and Inference for Generalized Divergences" - paper by John Lafferty in COLT 99 - presented by Geoff Gordon "Policy invariance under reward transformations" - paper by Andrew Ng, Daishi Harada and Stuart Russell, UC Berkeley in ICML 99 - presented by Marina Meila-Predoviciu "Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique" Competitive to Boosting Decision Trees - paper by Zijian Zheng, Geoffrey I. Webb, and Kai Ming Ting in ICML 99 - presented by Chuck Rosenberg