Kniha Word Categorization Taeho Jo

Word Categorization

Numerical Vector based Approaches

Autor: Taeho Jo
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
1 132
This book is concerned with numerical vector-based machine learning algorithms which are applied to...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2024
Stránek
70
EAN
9798339024385
Enbook ID
50867260
Hmotnost
108
Rozměry
152 x 229 x 4

Kompletní popis

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, Naïve Bayes, Learning Vector Quantization, and Perceptron, as approaches to word classification.

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