论文标题
最佳adaboost收敛
Optimal AdaBoost Converges
论文作者
论文摘要
以下工作是有关Adaboost机器学习算法的分类器和边距的融合属性的正式证明的预印刷集合。已经写了各种数学和计算机科学论文，内容涉及这些融合特性的猜想和特殊情况。此外，围绕该算法的研究在ADABOOST的边缘突出。在本文的顶峰上，我们介绍了Adaboost的分类器和利润率如何融合了数十年来研究的价值。之后，我们展示了如何与组合分类器融合相关的各种数量。
The following work is a preprint collection of formal proofs regarding the convergence properties of the AdaBoost machine learning algorithm's classifier and margins. Various math and computer science papers have been written regarding conjectures and special cases of these convergence properties. Furthermore, the margins of AdaBoost feature prominently in the research surrounding the algorithm. At the zenith of this paper we present how AdaBoost's classifier and margins converge on a value that agrees with decades of research. After this, we show how various quantities associated with the combined classifier converge.
