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Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data.

, , , , , и . UAI, том 216 из Proceedings of Machine Learning Research, стр. 130-140. PMLR, (2023)

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Germain Renouard

Germain Lemasson

Thomas Germain

Germain Faure

Germain Nyada

 

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A Greedy Algorithm for Building Compact Binary Activated Neural Networks., и . CoRR, (2022)A PAC-Bayes Sample-compression Approach to Kernel Methods., , , , и . ICML, стр. 297-304. Omnipress, (2011)PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations., , , , и . Canadian AI, Canadian Artificial Intelligence Association, (2023)Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting., , , , , , и . ECML/PKDD (3), том 12459 из Lecture Notes in Computer Science, стр. 141-157. Springer, (2020)A PAC-Bayes Risk Bound for General Loss Functions., , , и . NIPS, стр. 449-456. MIT Press, (2006)From PAC-Bayes Bounds to KL Regularization., , , , и . NIPS, стр. 603-610. Curran Associates, Inc., (2009)Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound., , , , , , и . NeurIPS, стр. 455-467. (2021)Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models., , , и . AAAI, стр. 9057-9065. AAAI Press, (2022)Improved PAC-Bayesian Bounds for Linear Regression., , , и . CoRR, (2019)PAC-Bayesian Theory for Transductive Learning., , , и . AISTATS, том 33 из JMLR Workshop and Conference Proceedings, стр. 105-113. JMLR.org, (2014)