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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yousef MalikMalik Yousef was born in Dabburia Village,nIsrael. In 2001, he received his Ph.D. in ComputernScience and Mathematics from the HaifanUniversity, Israel. In 2004. He joined the ShowenLaboratory at the Wistar Institute in P. Bestandsnummer des Verkäufers 4961811
Anzahl: Mehr als 20 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 modifiedmethods (modified to use only positive training examples),such as Rocchio, Nearest Neighbor,Naive-Bayes and Distance- based Probability algorithms.A novel experimental findingis that retrieval is enhanced substantiallyin 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-classclassificationin 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. Bestandsnummer des Verkäufers 9783639148695
Anzahl: 2 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock. Bestandsnummer des Verkäufers __363914869X
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. One-class Document Classification | One-class Document Classification via Neural Networks and Support Vector Machines | Malik Yousef | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639148695 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101558715
Anzahl: 5 verfügbar