Isbn: 9798309606184 - text classification: graph based approaches (6 resultados)
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 55,52
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 53,95
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 56,95
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Condición: New. In English.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 66,00
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Taschenbuch. Condición: Neu. Neuware - 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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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 51,63
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Condición: New. Print on Demand.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 58,82
Envío por EUR 43,13Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
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.…
