Rob Schapire
2000
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Rob Schapire trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert E. Schapire
- Jerome H. Friedman
- Vladimir Naumovich Vapnik
- Peter L. Bartlett
- Vladimir Naumovich Vapni
- J. Ross Quinlan
- Yoav Freund
- Yoram Singer
Who trusts Rob Schapire overall
- Koby Crammer
- Hwanjo Yu
- Robert E. Schapire
- Peter A. Flach
- Robi Polikar
- Antonio Torralba
- Yoram Singer
- R. Meir
- Giorgio Valentini
- Jiawei Han
Papers from Rob Schapire's perspective
Ordered by how strongly the researchers Rob Schapire trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
- Probability Inequalities for Sums of Bounded Random Variables
- UCI Repository of machine learning databases
- Improved Boosting Algorithms Using Confidence-rated Predictions
- A decision-theoretic generalization of on-line learning and an application to boosting
- The Nature of Statistical Learning
- Classification by Pairwise Coupling
- New Support Vector Algorithms
- The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network
Their papers
- Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers (2000) — 1,693 citations