Robust Combining of Disparate classifiers through Order Sttistics

Kagan Tumer; Joydeep Ghosh

首页> 外文期刊>Pattern Analysis and Applications >Robust Combining of Disparate classifiers through Order Sttistics

【24h】

Robust Combining of Disparate classifiers through Order Sttistics

机译：通过订单统计信息可靠地组合不同的分类器

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this article, we investigate a family of combiners based on order statistics, for robust handling of situations where there are large discrepancies in performance of individual classifiers. Based on a mathematical modelling of how the decision boundaries are affected by order statistic combiners, we derive expressions for the reductions in error expected when simple output combination methods based on the median, the maximum and in general, the ith order statistic, are used.

机译：通过组合器或元学习器集成多个分类器的输出已导致对一些困难的模式识别问题的实质性改进。在本文中，我们研究基于顺序统计信息的组合器系列，以可靠地处理各个分类器的性能差异很大的情况。基于决策统计量合并器如何影响决策边界的数学模型，我们推导了使用基于中位数，最大值以及通常使用第i阶统计量的简单输出组合方法时预期的误差减少的表达式。

著录项

来源
《Pattern Analysis and Applications》 |2002年第2期|p.189-200|共12页
作者
Kagan Tumer; Joydeep Ghosh;
展开▼
作者单位

展开▼
收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
Classification error; Ensembles; Order statistics; Trimmed means;

机译：分类错误;合奏;订单统计;修整手段;

相似文献

外文文献
中文文献
专利

1. Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level [J] . ShehzadKhalid, SanniaArshad, SohailJabbar, ScientificWorldJournal . 2014,第3期

机译：强大的框架，将分类分配器分配给类级别的单个分类器
2. Robust Boosted Parameter Based Combined Classifier for Rotation Invariant Texture Classification [J] . El-Baz A. H., Tolba A. S., Pal Sankar K. Applied Artificial Intelligence . 2016,第1a3期

机译：基于鲁棒提升参数的组合分类器用于旋转不变纹理分类
3. A unified classifier for robust face recognition based on combining multiple subspace algorithms [J] . Usama Ijaz Bajwa, Imtiaz Ahmad Taj, Muhammad Waqas Anwar Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter . 2012,第21a22期

机译：基于多个子空间算法的鲁棒人脸识别统一分类器
4. A Network Approach for Mapping and Classifying Shared Terminologies Between Disparate Literatures in the Social Sciences [C] . Cristian Mejia, Yuya Kajikawa Pacific-Asia conference on knowledge discovery and data mining;Workshop on data Science for fake news;Pacific Asia workshop on game intelligence and informatics;Workshop on biologically inspired techniques for data mining;Conference on learning data representation for clustering;International workshop on literature-based discovery . 2020

机译：映射和分类社会科学不同文献之间的共享术语的网络方法
5. Development of a combined GIS, neural network and Bayesian classifier methodology for classifying remotely sensed data. [D] . Schneider, Claudio Albert. 2002

机译：结合了GIS，神经网络和贝叶斯分类器方法，对遥感数据进行分类。
6. Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level [O] . Shehzad Khalid, Sannia Arshad, Sohail Jabbar, -1

机译：结合各种分类器的稳健框架可在班级为各个分类器分配分布式置信度
7. Robust Combining of Disparate Classifiers Through Order Statistics [O] . Ghosh, Joydeep, Tumer, Kagan 2001

机译：通过订单统计可靠地组合不同的分类器
8. Robust Combining of Disparate Classifiers Through Order Statistics [R] . Tumer, Kagan, Ghosh, Joydeep 2001

机译：通过顺序统计对不同分类器的鲁棒组合

Robust Combining of Disparate classifiers through Order Sttistics

摘要

著录项

相似文献

相关主题

期刊订阅