Robert E. Schapire
Publications by Year
Research Areas
Machine Learning and Algorithms, Advanced Bandit Algorithms Research, Machine Learning and Data Classification, Reinforcement Learning in Robotics, Algorithms and Data Compression
Most-Cited Works
- → A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting(1997)19,965 cited
- → Maximum entropy modeling of species geographic distributions(2005)17,286 cited
- → Novel methods improve prediction of species’ distributions from occurrence data(2006)9,005 cited
- Experiments with a new boosting algorithm(1996)
- → The Strength of Weak Learnability(1990)3,302 cited
- A Short Introduction to Boosting(1999)
- → Opening the black box: an open‐source release of Maxent(2017)2,702 cited
- → Improved boosting algorithms using confidence-rated predictions(1998)2,561 cited
- → A contextual-bandit approach to personalized news article recommendation(2010)2,460 cited