首页> 外文OA文献 >Multi-class clustering of cancer subtypes through SVM based ensemble of pareto-optimal solutions for gene marker identification.

【2h】

Multi-class clustering of cancer subtypes through SVM based ensemble of pareto-optimal solutions for gene marker identification.

机译：通过基于sVm的用于基因标记鉴定的帕累托最优解集合的多类聚类癌症亚型。

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

获取外文期刊封面目录资料

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Anirban Mukhopadhyay; Sanghamitra Bandyopadhyay; Ujjwal Maulik;
展开▼
作者单位

展开▼
年度 2010
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Customizing SVM as a base learner with AdaBoost ensemble to learn from multi-class problems: A hybrid approach AdaBoost-MSVM [J] . Mehmood Zafar, Asghar Sohail Knowledge-Based Systems . 2021,第Apra6期

机译：使用Adaboost集合自定义SVM作为基础学习者，从多级问题中学习：混合方法Adaboost-MSVM
2. Few shot learning for multi-class classification based on nested ensemble DSVM [J] . Wang Wei, Zhang Li, Zhang Mengjun, Ad hoc networks . 2020,第Mara期

机译：基于嵌套集成DSVM的多类别分类的很少镜头学习
3. Combining Multi-class SVMs with Linear Ensemble Methods that Estimate the Class Posterior Probabilities [J] . YANN GUERMEUR Communications in Statistics . 2013,第16a18期

机译：将多类SVM与估计类后验概率的线性集合方法相结合
4. KNOWLEDGE BASED-CLUSTERING AND APPLICATION OF MULTI-CLASS SVM FOR GENES EXPRESSION ANALYSIS [C] . BUDI SANTOSA, TYRRELL CONWAY, T. B. TRAFALIS Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life . 2002

机译：基于知识的聚类分析多类支持向量机及其应用
5. Determining Lung Cancer Subtypes, Classifications, and Potential Gene Markers [D] . Johnson, Daniel L. 2015

机译：确定肺癌亚型，分类和潜在基因标记
6. Multi-Class Clustering of Cancer Subtypes through SVM Based Ensemble of Pareto-Optimal Solutions for Gene Marker Identification [O] . Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik 2010

机译：通过基于SVM的Pareto最优解决方案组合对癌症亚型进行多类聚类以进行基因标记识别
7. Multi-Class Clustering of Cancer Subtypes through SVM Based Ensemble of Pareto-Optimal Solutions for Gene Marker Identification [O] . Mukhopadhyay, Anirban, Bandyopadhyay, Sanghamitra, Maulik, Ujjwal 2010

机译：通过基于SVM的Pareto最优解决方案组合对癌症亚型进行多类聚类，以进行基因标记识别

Multi-class clustering of cancer subtypes through SVM based ensemble of pareto-optimal solutions for gene marker identification.

著录项

引文网络

相似文献

相关主题

期刊订阅