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 ...
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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, Na???ve 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, Na???ve Bayes, Learning Vector Quantization, and Perceptron, as approaches to word classification, and they are modified into their graph-based versions.
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Add this copy of Word Categorization: Graph based Approaches to cart. $44.29, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2024 by Independently Published.
Add this copy of Word Categorization: Graph based Approaches to cart. $57.10, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2024 by Independently Published.
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Fine. Trade paperback (US). Glued binding. 70 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Word Categorization: Graph based Approaches to cart. $57.68, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2024 by Independently Published.
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Seller's Description:
New. Trade paperback (US). Glued binding. 70 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
