Titlebook: Classification Functions for Machine Learning and Data Mining; Tsutomu Sasao Book 2024 The Editor(s) (if applicable) and The Author(s), un

遍及

无能的人

Introduction,This chapter contains the aim and organization of the book.

coalition

NOTCH

Minimization of the Number of Variables: Exact Method,This chapter shows an exact method to minimize the number of variables in partially defined functions using difference vectors.

四牛在弯曲

tariff

旧病复发

Linear Decomposition,This chapter introduces linear transformations of the input variables. With this technique, the number of variables can be reduced drastically. Experimental results using MNIST

Custodian

LATE

Functions with Multi-valued Inputs,In practical applications, variables are often multi-valued. This chapter shows a method to represent functions by an SOP with multi-valued inputs.

造反,叛乱

Functions with Continuous Variables,Classification functions in life science and engineering often have continuous variables. Such variables show length, width, weight, pressure, and temperature, etc.