Opening the black box: an open‐source release of Maxent von Phillips, Steven J., Anderson, Robert P., Dudík, Miroslav, Schapire, Robert E., Blair, Mary E.

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Hierarchical multi-label prediction of gene function von Barutcuoglu, Zafer, Schapire, Robert E., Troyanskaya, Olga G.

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Improved Boosting Algorithms Using Confidence-rated Predictions von Schapire, Robert E, Singer, Yoram

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Boosting: Foundations and Algorithms von Schapire, Robert E, Freund, Yoav

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Large Margin Classification Using the Perceptron Algorithm von Freund, Yoav, Schapire, Robert E

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The nonstochastic multiarmed bandit problem von AUER, Peter, CESA-BIANCHI, Nicolo, FREUND, Yoav, SCHAPIRE, Robert E

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Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods von Schapire, Robert E., Freund, Yoav, Bartlett, Peter, Lee, Wee Sun

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A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting von Freund, Yoav, Schapire, Robert E

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Combining active and semi-supervised learning for spoken language understanding von Tur, Gokhan, Hakkani-Tür, Dilek, Schapire, Robert E.

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Adaptive Game Playing Using Multiplicative Weights von Freund, Yoav, Schapire, Robert E.

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Maximum entropy modeling of species geographic distributions von Phillips, Steven J., Anderson, Robert P., Schapire, Robert E.

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An Efficient Boosting Algorithm for Combining Preferences von Freund, Yoav, Iyer, Raj, Schapire, Robert E, Singer, Yoram

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BoosTexter: A Boosting-based System for Text Categorization von Schapire, Robert E, Singer, Yoram

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Error Adaptive Classifier Boosting (EACB): Leveraging Data-Driven Training Towards Hardware Resilience for Signal Inference von Zhuo Wang, Schapire, Robert E., Verma, Naveen

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Novel methods improve prediction of species' distributions from occurrence data von Elith, Jane, H. Graham, Catherine, P. Anderson, Robert, Dudík, Miroslav, Ferrier, Simon, Guisan, Antoine, J. Hijmans, Robert, Huettmann, Falk, R. Leathwick, John, Lehmann, Anthony, Li, Jin, G. Lohmann, Lucia, A. Loiselle, Bette, Manion, Glenn, Moritz, Craig, Nakamura, Miguel, Nakazawa, Yoshinori, McC. M. Overton, Jacob, Townsend Peterson, A., J. Phillips, Steven, Richardson, Karen, Scachetti-Pereira, Ricardo, E. Schapire, Robert, Soberón, Jorge, Williams, Stephen, S. Wisz, Mary, E. Zimmermann, Niklaus

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Logistic Regression, AdaBoost and Bregman Distances von Collins, Michael, Schapire, Robert E, Singer, Yoram

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Performance Guarantees for Regularized Maximum Entropy Density Estimation von Dudík, Miroslav, Phillips, Steven J., Schapire, Robert E.

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On-Line Portfolio Selection Using Multiplicative Updates von Helmbold, David P., Schapire, Robert E., Singer, Yoram, Warmuth, Manfred K.

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Boosting: Foundations and Algorithms von Schapire, Robert E.

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Learning to Order Things von Cohen, W. W., Schapire, R. E., Singer, Y.

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