Classification Functions for Machine Learning and Data Mining

AvTsutomu Sasao

Inbunden, Engelska, 2023

Del i serien Synthesis Lectures on Digital Circuits & Systems

588 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2023-07-15
Mått:168 x 240 x 15 mm
Vikt:456 g
Format:Inbunden
Språk:Engelska
Serie:Synthesis Lectures on Digital Circuits & Systems
Antal sidor:144
Förlag:Springer International Publishing AG
ISBN:9783031353468

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Mer om författaren

Tsutomu Sasao received B.E., M.E., and Ph.D. degrees in Electronics Engineering from Osaka University, Osaka Japan, in 1972, 1974, and 1977, respectively. He has held faculty/research positions at Osaka University, Japan; IBM T. J. Watson Research Center, Yorktown Height, NY; the Naval Postgraduate School, Monterey, CA; Kyushu Institute of Technology, Japan; and Meiji University, Kawasaki, Japan. Currently, he is a visiting researcher of Meiji University, Japan. He is a Life Fellow of the IEEE, and has published many books on logic design.

Innehållsförteckning

Introduction.- Definitions and Basic Properties.- Minimization of Variables: Exact Method.- Minimization of Variables: Heuristic Method.- Two-Class Functions.- Linear Decomposition.- Data Mining and Machine Learning.- Functions with Multi-Valued Inputs.- Easily Reconstructable Functions.- Functions with Continuous Variables.- References.- Conclusions.