Classification Functions for Machine Learning and Data Mining
Wydawca: Springer
Druk
EN
2024
Poradniki
Classification Functions for Machine Learning and Data Mining In the case of hardware implementation, circuit design can employ look-up tables (memory), rather than threshold gates. The methodology described in this book involves extracting a set of rules from a training set, composed of categorical variable vectors and their corresponding classes. Autor: Tsutomu Sasao Wydawnictwo: Springer Rok wydania: 2024 Okładka: miękka Liczba stron: 144 Wymiary: 24 x 16.8 cm Ilustracje: 26 Illustrations, color; 19 Illustrations, black and white Język: angielski ISBN: 9783031353499
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