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Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent. Part of Advances in Neural Information Processing Systems 30 (NIPS 2017).
Gradient boosting decision trees (GBDT), an ensemble learning method, is proposed to Short-Term Traffic Prediction Based on Gradient Boosting Machine", Journal of Sensors, vol. J. H. Friedman, R. A. Olshen, and C. J. Stone, Classifiion and Regression Trees, Journals · Article Processing Charges · Print editions.
Gradient Boosting Machine (GBM) (Friedman, 2001) is Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, C. J. Information Processing Systems, 2015.
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Electronic Proceedings of Neural Information Processing Systems.
Gradient boosting decision trees (GBDT), an ensemble learning method, is proposed to Short-Term Traffic Prediction Based on Gradient Boosting Machine", Journal of Sensors, vol. J. H. Friedman, R. A. Olshen, and C. J. Stone, Classifiion and Regression Trees, Journals · Article Processing Charges · Print editions.
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