首页> 外文OA文献 >An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results

【2h】

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results

机译：专注于分类机构的自动化机器学习进化算法：改进的算法和扩展结果

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
João C. Xavier-Júnior; Alex A. Freitas; Teresa B. Ludermir; Antonino Feitosa-Neto; Cephas A.S. Barreto;
展开▼
作者单位

展开▼
年度 2020
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. An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results [J] . Theoretical computer science . 2020,第期

机译：专注于分类机构的自动化机器学习进化算法：改进的算法和扩展结果
2. Improved prediction of clay soil expansion using machine learning algorithms and meta-heuristic dichotomous ensemble classifiers [J] . E.U. Eyo, S.J. Abbey, T.T. Lawrence, Geoscience frontiers . 2022,第1期

机译：利用机器学习算法和元启发式二分集分类改进了粘土土壤扩张预测
3. Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms. [J] . Ozcift A, Gulten A Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2011,第3期

机译：利用旋转森林进行分类器集成，以提高机器学习算法的医学诊断性能。
4. A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles [C] . João C. Xavier-Júnior, Alex A. Freitas, Antonino Feitosa-Neto, Brazilian Conference on Intelligent Systems . 2018

机译：面向分类器集合的自动机器学习的新进化算法
5. Exploring the Use of Supervised Machine Learning Algorithms to Classify Simulated Balance Deficits [D] . Sidener, Logan James. 2018

机译：探索使用监督机器学习算法来分类模拟余额赤字
6. Developing an Explainable Machine Learning-Based Personalised Dementia Risk Prediction Model: A Transfer Learning Approach With Ensemble Learning Algorithms [O] . Samuel O. Danso, Zhanhang Zeng, Graciela Muniz-Terrera, 2021

机译：开发可解释的基于机器学习的个性化痴呆风险预测模型：具有集合学习算法的转移学习方法
7. Extending the Classifier Algorithms in Machine Learning to Improve the Performance in Spoken Language Understanding Systems Under Deficient Training Data [O] . Sheetal Jagdale, Milind Shah 2020

机译：在机器学习中扩展分类器算法，以提高在缺乏训练数据下的口语理解系统中的性能

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results

著录项

引文网络

相似文献

相关主题

期刊订阅