One-class Document Classification

Name: One-class Document Classification
Brand: VDM Verlag Dr. Müller
SKU: 9783639148695
Price: 48.46 EUR
Availability: InStock

One-class Document Classification via Neural Networks and Support Vector Machines

Autor: Malik Yousef

Jazyk:

Väzba: Brožovaná

Vydavateľ: VDM Verlag Dr. Müller

Dostupnosť: U vydavateľa na objednávku

Odosielame za 17-27 dní

48.46 €

In this book, we address the problem of automated §information retrieval and document classification...

Informácie o knihe

Autor

Malik Yousef

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2009

Stránok

108

EAN

9783639148695

Enbook ID

06823425

Vydavateľ

VDM Verlag Dr. Müller

Rozmery

150 x 220 x 6

Kompletný popis

In this book, we address the problem of automated §information retrieval and document classification §using only positive examples.In this book, we show §how a simple feed-forward neural network can be §trained to filter documents under these conditions,§and that this method seems to be superior to modified§methods (modified to use only positive training §examples),such as Rocchio, Nearest Neighbor,§Naive-Bayes and Distance- based Probability §algorithms.A novel experimental finding§is that retrieval is enhanced substantially§in this context by carrying out a certain kind of §uniform transformation (Hadamard) of the §information prior to the training of the network.§We also implemented versions of support vector §machine (SVM) appropriate for one-classclassification§in the context of information retrieval.§Finally we present a system designed to help a user §navigate the Web. The system is built upon neural §network techniques designed to attack the problem of §user modeling using only positive examples.

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One-class Document Classification

One-class Document Classification via Neural Networks and Support Vector Machines

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