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Independently Published

Word Categorization: Numerical Vector based Approaches

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Product Code: 9798339024385
ISBN13: 9798339024385
Condition: New
$55.00
$53.50
Sale 3%

Word Categorization: Numerical Vector based Approaches

$55.00
$53.50
Sale 3%
 
This book is concerned with numerical vector-based machine learning algorithms which are applied to word classification. The book is authored by collecting slides about application of machine learning algorithms to word classification; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to word classification and is composed of five sections. Word classification is defined as the process of assigning a category or some categories to each word among the predefined ones; in this book, the scope is restricted to only semantic word classification. This book covers the four machine learning algorithms, KNN algorithm, Na?ve Bayes, Learning Vector Quantization, and Perceptron, as approaches to word classification.


Author: Taeho Jo
Publisher: Independently Published
Publication Date: Sep 12, 2024
Number of Pages: 70 pages
Binding: Paperback or Softback
ISBN-10: NA
ISBN-13: 9798339024385
 

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