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Viac informácií o knihe Word Categorization

• Parametre knihy
• Anotácia kniha
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Anotácia knihy

This book is concerned with graph-based machine learning algorithms which are applied to word classification. The book is authored by collecting slides about the 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, and they are modified into their graph-based versions.This book is concerned with graph-based machine learning algorithms which are applied to word classification. The book is authored by collecting slides about the 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, and they are modified into their graph-based versions.

Parametre knihy

• Celý názov: Word Categorization
• Podnázov: Graph based Approaches
• Autor: Taeho Jo
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 70
• EAN: 9798341068650
• ID: 50873226
• Nakladateľ: Independently published
• Hmotnosť: 108 g
• Rozmery: 229 × 152 × 4 mm
• Dátum vydania: 02. October 2024

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