Rescaled Boosting in Classification

Yao Wang; Xu Liao; Shaobo Lin

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Rescaled Boosting in Classification

机译：分类中的按比例提升

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摘要

Boosting is a learning scheme that combines weak learners to produce a strong composite learner, with the underlying intuition that one can obtain accurate learner by combining “rough” ones. This paper aims at developing a new boosting strategy, called re

机译：Boosting是一种学习方案，它结合了弱学习者以产生强大的复合学习者，并且具有一种直觉，即人们可以通过结合“粗糙”学习者来获得准确的学习者。本文旨在制定一种新的促进策略，称为

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来源
《Neural Networks and Learning Systems, IEEE Transactions on》 |2019年第9期|2598-2610|共13页
作者
Yao Wang; Xu Liao; Shaobo Lin;
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作者单位

School of Management Xi’an Jiaotong University Xi’an China;

School of Mathematics and Statistics Xi’an Jiaotong University Xi’an China;

State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China;

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正文语种 eng
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关键词
Boosting; Convergence; Acceleration; Robots; Optimization; Approximation algorithms;

机译：助推;收敛;加速;机器人;优化;近似算法;

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专利

1. Ensembled Population Rescaled Differential Evolution with Weighted Boosting for Early Breast Cancer Detection [J] . Jeyanthi K., Mangai S. Mobile networks & applications . 2019,第6期

机译：集合人口重新划分差异演化与加权增强早期乳腺癌的检测。
2. Shrinkage Degree in L_{2} -Rescale Boosting for Regression [J] . Lin Xu, Shaobo Lin, Yao Wang, Neural Networks and Learning Systems, IEEE Transactions on . 2017,第8期

机译：L_ {2}中的收缩度-回归的缩放比例提升
3. Boosted classification trees result in minor to modest improvement in the accuracy in classifying cardiovascular outcomes compared to conventional classification trees [J] . Peter C Austin, Douglas S Lee American Journal of Cardiovascular Disease . 2011,第1期

机译：与传统的分类树相比，增强的分类树导致心血管结局分类的准确性略有改善
4. Rescale-Invariant SVM for Binary Classification [C] . Mojtaba Montazery, Nic Wilson International Joint Conference on Artificial Intelligence . 2019

机译：Rescale-Invariant SVM用于二进制分类
5. Boosting and online learning for classification and ranking. [D] . Valizadegan, Hamed. 2010

机译：促进和在线学习以进行分类和排名。
6. Boosted classification trees result in minor to modest improvement in the accuracy in classifying cardiovascular outcomes compared to conventional classification trees [O] . Peter C Austin, Douglas S Lee 2011

机译：与传统的分类树相比增强的分类树导致心血管结果分类的准确性略有改善
7. MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification [O] . Rayhan, Farshid, Ahmed, Sajid, Mahbub, Asif, 2018

机译：mEBoost：混合估算器与不均衡数据的提升分类

Rescaled Boosting in Classification

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