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Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach

机译：通过使用新颖的集成特征选择方法，补偿特征选择偏差并改善二进制分类的预测性能

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Ursula Neumann; Mona Riemenschneider; Jan-Peter Sowa; Theodor Baars; Julia Kälsch; Ali Canbay; Dominik Heider;
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年度 2016
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1. Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach [J] . Ursula Neumann, Mona Riemenschneider, Jan-Peter Sowa, BioData Mining . 2016,第1期

机译：通过使用一种新颖的整体特征选择方法来补偿特征选择偏差并改善二进制分类的预测性能
2. Robustness and Predictive Performance of Homogeneous Ensemble Feature Selection in Text Classification [J] . Mehta Poornima, Chandra Satish International journal of information retrieval research . 2021,第1期

机译：文本分类中同质集合特征选择的鲁棒性和预测性能
3. Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction [J] . Tsai Chih-Fong, Sue Kuen-Liang, Hu Ya-Han, Journal of Business Research . 2021,第Juna期

机译：结合特征选择，实例选择和集合分类技术，提高财务困境预测
4. Utilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data [C] . Joseph Prusa, Taghi M. Khoshgoftaar, Amri Napolitano IEEE International Conference on Machine Learning and Applications . 2015

机译：利用集合，数据采样和特征选择技术提高推特情感数据的分类性能
5. Approaches to Feature Identification and Feature Selection for Binary and Multi-Class Classification [D] . Zhang, Zisheng. 2007

机译：二元和多类分类的特征识别和特征选择方法
6. Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach [O] . Ursula Neumann, Mona Riemenschneider, Jan-Peter Sowa, 2016

机译：通过使用新颖的集成特征选择方法补偿特征选择偏差并改善二进制分类的预测性能
7. Peculiar Genes Selection: A new features selection method to improve classification performances in imbalanced data sets. [O] . Federica Martina, Marco Beccuti, Gianfranco Balbo, 2017

机译：特殊基因选择：一种改进不平衡数据集分类性能的新特征选择方法。

Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach

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