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Multi-Objective, Multi-Class and Multi-Label Data Classification with Class Imbalance

Theory and Practices

Jezik AngleščinaAngleščina
Knjiga Trda
Knjiga Multi-Objective, Multi-Class and Multi-Label Data Classification with Class Imbalance Sanjay Chakraborty
Koda Libristo: 46587835
Založba Springer, Berlin, november 2024
This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Mu... Celoten opis
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This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.' This book studies sophisticated methods and strategies for working with complicated data sets, tackling the difficulties of various classes, many objectives, and complicated labelling tasks. This resource fosters a deeper grasp of multi-dimensional data analysis in today's data-driven world by providing readers with the skills and insights needed to navigate the subtleties of modern classification jobs, from algorithmic techniques to practical applications.

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O knjigi

Polni naslov Multi-Objective, Multi-Class and Multi-Label Data Classification with Class Imbalance
Avtor Sanjay Chakraborty, Lopamudra Dey
Jezik Angleščina
Vezava Knjiga - Trda
Datum izida 2025
Število strani 220
EAN 9789819796212
Koda Libristo 46587835
Založba Springer, Berlin
Teža 428
Mere 155 x 235

Kategorije

Computing & Information Technology > Computer science > Artificial intelligence
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