Genetic Programming for Image Classification: An Automated Approach to Feature Learning - Adaptation, Learning, and Optimization - Ying Bi - Grāmatas - Springer Nature Switzerland AG - 9783030659295 - 2022. gada 10. februāris
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Genetic Programming for Image Classification: An Automated Approach to Feature Learning - Adaptation, Learning, and Optimization 1st ed. 2021 edition

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This book offers several new GP approaches to feature learning for image classification. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification.


258 pages, 59 Illustrations, color; 33 Illustrations, black and white; XXVIII, 258 p. 92 illus., 59

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2022. gada 10. februāris
ISBN13 9783030659295
Izdevēji Springer Nature Switzerland AG
Lapas 258
Izmēri 150 × 220 × 10 mm   ·   408 g
Valoda Vācu  

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