Improving Classifier Generalization Real-Time Machine Learning based Applications /

This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and c...

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Autori principali:	Sevakula, Rahul Kumar (Autore), Verma, Nishchal K. (Autore)
Ente Autore:	SpringerLink (Online service)
Natura:	Elettronico eBook
Lingua:	inglese
Pubblicazione:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edizione:	1st ed. 2023.
Serie:	Studies in Computational Intelligence, 989
Soggetti:	Machine learning. Computational intelligence. Pattern recognition systems. Machine Learning. Computational Intelligence. Automated Pattern Recognition.
Accesso online:	https://doi.org/10.1007/978-981-19-5073-5
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