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Sinopsis
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.
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Word Categorization (Paperback)
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Paperback. Condición: new. Paperback. 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, Naive 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, Naive Bayes, Learning Vector Quantization, and Perceptron, as approaches to word classification, and they are modified into their graph-based versions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798341068650
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Word Categorization: Graph based Approaches
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Word Categorization
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Word Categorization
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Word Categorization (Paperback)
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Paperback. Condición: new. Paperback. 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, Naive 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, Naive Bayes, Learning Vector Quantization, and Perceptron, as approaches to word classification, and they are modified into their graph-based versions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798341068650
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