首页> 外文OA文献 >A Novel Classification Method for Class-imbalanced Data and Its Application in microRNA Recognition

【2h】

A Novel Classification Method for Class-imbalanced Data and Its Application in microRNA Recognition

机译：一种新的类别 - 不平衡数据分类方法及其在MicroRNA识别中的应用

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。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Xia Geng; Yu-Quan Zhu; Zhi Yang;
展开▼
作者单位

展开▼
年度 2018
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. Learning from class-imbalanced data: Review of methods and applications [J] . Guo Haixiang, Li Yijing, Shang Jennifer, Expert Systems with Application . 2017,第MAY期

机译：从班级不平衡数据中学习：方法和应用程序的回顾
2. Research on classification method of high-dimensional class-imbalanced datasets based on SVM [J] . Zhang Chunkai, Zhou Ying, Guo Jianwei, International journal of machine learning and cybernetics . 2019,第7期

机译：基于支持向量机的高维类不平衡数据集分类方法研究
3. Research on classification method of high-dimensional class-imbalanced datasets based on SVM [J] . Zhang Chunkai, Zhou Ying, Guo Jianwei, International journal of machine learning and cybernetics . 2019,第7期

机译：基于SVM的高维类别 - 不平衡数据集分类方法研究
4. Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM [C] . Chunkai Zhang, Jianwei Guo, Junru Lu IEEE International Conference on Data Science in Cyberspace . 2017

机译：基于支持向量机的高维类不平衡数据集分类方法研究
5. Methods for analyzing high dimensional data: Classification, measurement error model and graph based association measures, with applications to microarray data [D] . Ding, Beiying 2004

机译：分析高维数据的方法：分类，测量误差模型和基于图的关联度量，并应用于微阵列数据
6. Resampling Methods Improve the Predictive Power of Modeling in Class-Imbalanced Datasets [O] . Paul H. Lee 2014

机译：重采样方法提高了类不平衡数据集中建模的预测能力
7. A data-driven methodology for the classification of different liquids in artificial taste recognition applications with a pulse voltammetric electronic tongue [O] . Jersson X Leon-Medina, Leydi J Cardenas-Flechas, Diego A Tibaduiza 2019

机译：具有脉冲伏安电子舌的人工味道识别应用中不同液体分类的数据驱动方法
8. Preprocessing, Variable Selection, and Classification Rules in the Application of SIMCA Pattern Recognition to Mass Spectral Data [R] . Dunn, W. J., Emery, S. L., Graham Glen, W., 1989

机译：sImCa模式识别在质谱数据中应用的预处理，变量选择和分类规则

A Novel Classification Method for Class-imbalanced Data and Its Application in microRNA Recognition

著录项

引文网络

相似文献

相关主题

期刊订阅