Boosting: Foundations and Al- gorithms. The MIT Press, 2012.Schapire, R.E., Freund, Y.: Boosting: Foundations and algorithms. MIT press (2012).Robert E. Schapire and Yoav Freund. Boosting: Foundations and Algorithms. The MIT Press, 2012.R. E. Schapire and Y. Freund, Boosting: ...
Boosting: Foundations and Algorithms (Robert E. Schapire, et al) The Mirror Site (1) - PDF The Mirror Site (2) - PDF Similar Books: Support Vector Machines Succinctly (Alexandre Kowalczyk) This book guides readers through the building blocks ofSupport Vector Machines (SVMs), from basic concep...
副标题: Foundations and Algorithms出版年: 2012-5-18页数: 544定价: USD 57.00装帧: Hardcover丛书: Adaptive Computation and Machine LearningISBN: 9780262017183豆瓣评分 9.2 14人评价 5星 57.1% 4星 35.7% 3星 7.1% 2星 0.0% 1星 0.0% 评价:
Boosting: foundations and algorithms 来自 国家科技图书文献中心 喜欢 0 阅读量: 129 作者: G Hacken 摘要: The term "boosting" in the title of this definitive book refers to the authors' approach to machine learning. Boosting means "creating a highly accurate predictor by combining many weak and ...
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内容所属专栏 大规模机器学习与集成学习 向量化、多核化、GPU、集群等,《Ensemble Methods: Foundations and Algorithms》翻译等 订阅专栏 ensemble 机器学习 boosting 赞同5添加评论 分享喜欢收藏申请转载 写下你的评论... 还没有评论,发表第一个评论吧 推荐阅读 Ensemble Method : ...
[1] Breiman L. Baggingpredictors[J]. Machine learning, 1996, 24(2): 123-140. [2] Schapire R E, Freund Y.Boosting: Foundations and algorithms[M]. MIT press, 2012. [3] Breiman L. Stackedregressions[J]. Machine learning, 1996, 24(1): 49-64. 原文摘自:天天快报...
Schapire & Freund. Boosting: Foundations and Algorithms. MIT. He et al.Deep Residual Learning for Image Recognition. Veit et al.Residual Networks Behave Like Ensembles of Relatively Shallow Networks. Xie et al.Aggregated Residual Transformations for Deep Neural Networks....
Adaptive basis function models,主要是CART和boosting算法【挖坑待完成】 参考书 MLAPP PRML Boosting Foundations and Algorithms
Schapire & Freund. Boosting: Foundations and Algorithms. MIT. He et al.Deep Residual Learning for Image Recognition. Veit et al.Residual Networks Behave Like Ensembles of Relatively Shallow Networks. Xie et al.Aggregated Residual Transformations for Deep Neural Networks....