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Robert E. Schapire
Researcher Next ID · RN-001613
Researcher · Computer Science
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
Not currently recruitingFunding unknown
- Works count
- 250
- Citation count
- 109,878
- H-index
- 74
- i10-index
- 167
Research interests
Computer Science
Decision Sciences
Machine Learning and Algorithms
Advanced Bandit Algorithms Research
Machine Learning and Data Classification
Reinforcement Learning in Robotics
Algorithms and Data Compression
Publications
Novel methods improve prediction of species’ distributions from occurrence data
Ecography · 2006 · https://doi.org/10.1111/j.2006.0906-7590.04596.x
Maximum entropy modeling of species geographic distributions
Ecological Modelling · 2005 · https://doi.org/10.1016/j.ecolmodel.2005.03.026
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
Journal of Computer and System Sciences · 1997 · https://doi.org/10.1006/jcss.1997.1504
Experiments with a new boosting algorithm
Journal · 1996
The Strength of Weak Learnability
Machine Learning · 1990 · https://doi.org/10.1023/a:1022648800760
Current projects
No projects listed.