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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - This book is concerned with machine learning algorithms which are applied to text classification. The book is authored by collecting slides about the application of string vector-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 string vector-based ones. This book covers the four machine learning algorithms, string vector-based KNN Algorithm, string vector -based Naïve Bayes, string vector -based Learning Vector Quantization, and string vector -based Perceptron, as approaches to text classification.
EUR 72,00
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - This book is concerned with numerical vector-based machine learning algorithms which are applied to keyword extraction. The book is authored by collecting slides about the application of machine learning algorithms to keyword extraction; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to keyword extraction and is composed of five sections. Keyword extraction is defined as the process of extracting important words selectively from a text. This book covers the four machine learning algorithms, KNN Algorithm, Naïve Bayes, Learning Vector Quantization, and Perceptron, as approaches to keyword extraction.
EUR 72,00
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - This book is concerned with graph-based machine learning algorithms which are applied to word clustering. The book is authored by collecting slides about the application of machine learning algorithms to word clustering; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to word clustering and is composed of five sections. Word clustering is defined as the process of segmenting a word group into subgroups each of which contains semantically similar words; in this book, the scope is restricted to only semantic word clustering. This book covers graph based modified versions of AHC Algorithm, K means algorithm, Linear Online Clustering Algorithm, and Divisive Algorithm, as approaches to word clustering.
EUR 72,00
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - This book is concerned with string vector-based machine learning algorithms which are applied to word clustering. The book is authored by collecting slides about the application of machine learning algorithms to word clustering; each page is given as a slide. This book is intended for ones who study applications of machine learning algorithms to word clustering and is composed of five sections. Word clustering is defined as the process of segmenting a word group into subgroups each of which contains semantically similar words; in this book, the scope is restricted to only semantic word clustering. This book covers string vector based modified versions of AHC Algorithm, K means algorithm, Linear Online Clustering Algorithm, and Divisive Algorithm, as approaches to word clustering.