An efficient model selection for linear discriminant function-based recursive feature elimination
Xiaoli Ding,Fan Yang,Fuming Ma +2 more
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TL;DR: In this paper , an approximation method was proposed to evaluate the generalization error of a linear SVM-RFE, and a new criterion was designed to tune the penalty parameter C. The performance of the proposed algorithm exceeds that of the compared algorithms on bioinformatics datasets, and empirically demonstrate the computational time saving achieved by alpha seeding approaches.
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About: This article is published in Journal of Biomedical Informatics. The article was published on 01 Apr 2022. and is currently open access. The article focuses on the topics: Medicine & Computer science.
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Citations
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System
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TL;DR: In this paper , a feature selection technique that selects features via fusion of statistical importance using standard deviation and difference of mean and median is proposed, which aims to derive relevant features that possess high discernibility and deviation, that assists in better learning of data.
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Machine-learning-assisted multi-objective optimization in vertical zone refining of ultra-high purity indium
TL;DR: In this article , a multi-objective optimization strategy was proposed to optimize the process parameters for vertical zone refining of 7N-grade ultra-high purity indium (In) by using machine learning.
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Multimodal Autism Spectrum Disorder Diagnosis Method Based on DeepGCN.
Mingzhi Wang,Jifeng Guo,Yongjie Wang,Ming Yu,Jingtan Guo +4 more
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A Fault Diagnosis Model for Tennessee Eastman Processes Based on Feature Selection and Probabilistic Neural Network
TL;DR: Results indicate that the data samples selected by PSO-SVM-RFE features simplify and eliminate redundant features more effectively than other feature selection techniques, and the MSSA algorithm’s optimization capabilities surpass those of conventional optimization techniques.
References
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Selection of relevant features and examples in machine learning
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