Toward an Optimal and Structured Feature Subset Selection for Multi-Target Regression Using Genetic Algorithm

Multi Target Regression (MTR) is a machine learning method that simultaneously predicts multiple real-valued outputs using a set of input variables. A lot of emerging applications that can be mapped to this class of problem. In MTR method one of the critical aspect is to handle structural informatio...

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主要な著者:	Farrukh Hasan Syed, Muhammad Atif Tahir, Jaroslav Frnda, Muhammad Rafi, Muhammad Shahid Anwar, Jan Nedoma
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2023-01-01
シリーズ:	IEEE Access
主題:	Multi-target regression feature selection genetic algorithm single target multiple objectives
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10296894/
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