Sinopsis
This book is concerned with graph-based machine learning algorithms which are applied to text classification. The book is authored by collecting slides about the application of graph-based machine learning algorithms to text classification; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to text classification and is composed of five sections. The scope of this book is defined as text classification which is defined as the process of assigning a category or some categories to each text, and machine learning algorithms which are modified into graph-based ones. This book covers the four machine learning algorithms, graph-based KNN Algorithm, graph -based Naïve Bayes, graph -based Learning Vector Quantization, and graph -based Perceptron, as approaches to text classification.
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Text Classification (Paperback)
Impresión bajo demandaLibrería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. This book is concerned with graph-based machine learning algorithms which are applied to text classification. The book is authored by collecting slides about the application of graph-based machine learning algorithms to text classification; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to text classification and is composed of five sections. The scope of this book is defined as text classification which is defined as the process of assigning a category or some categories to each text, and machine learning algorithms which are modified into graph-based ones. This book covers the four machine learning algorithms, graph-based KNN Algorithm, graph -based Naive Bayes, graph -based Learning Vector Quantization, and graph -based Perceptron, as approaches to text classification. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798309606184
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Text Classification
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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798309606184
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Text Classification: Graph based Approaches
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9798309606184_new
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Text Classification (Paperback)
Impresión bajo demandaLibrería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. This book is concerned with graph-based machine learning algorithms which are applied to text classification. The book is authored by collecting slides about the application of graph-based machine learning algorithms to text classification; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to text classification and is composed of five sections. The scope of this book is defined as text classification which is defined as the process of assigning a category or some categories to each text, and machine learning algorithms which are modified into graph-based ones. This book covers the four machine learning algorithms, graph-based KNN Algorithm, graph -based Naive Bayes, graph -based Learning Vector Quantization, and graph -based Perceptron, as approaches to text classification. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798309606184
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