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Handbook on Neural Information Processing

Overview of attention for book
Cover of 'Handbook on Neural Information Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning of Representations
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    Chapter 2 Recurrent Neural Networks
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    Chapter 3 Supervised Neural Network Models for Processing Graphs
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    Chapter 4 Topics on Cellular Neural Networks
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    Chapter 5 Approximating Multivariable Functions by Feedforward Neural Nets
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    Chapter 6 Bochner Integrals and Neural Networks
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    Chapter 7 Semi-supervised Learning
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    Chapter 8 Statistical Relational Learning
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    Chapter 9 Kernel Methods for Structured Data
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    Chapter 10 Multiple Classifier Systems: Theory, Applications and Tools
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    Chapter 11 Self Organisation and Modal Learning: Algorithms and Applications
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    Chapter 12 Bayesian Networks, Introduction and Practical Applications
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    Chapter 13 Relevance Feedback in Content-Based Image Retrieval: A Survey
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    Chapter 14 Learning Structural Representations of Text Documents in Large Document Collections
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    Chapter 15 Neural Networks in Bioinformatics
Attention for Chapter 7: Semi-supervised Learning
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Citations

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34 Dimensions

Readers on

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57 Mendeley
Summary Dimensions citations
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Chapter title
Semi-supervised Learning
Chapter number 7
Book title
Handbook on Neural Information Processing
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-36657-4_7
Book ISBNs
978-3-64-236656-7, 978-3-64-236657-4
Authors

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Hady, Mohamed Farouk Abdel, Schwenker, Friedhelm

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 19%
Student > Bachelor 7 12%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 3 5%
Lecturer 1 2%
Other 2 4%
Unknown 28 49%
Readers by discipline Count As %
Computer Science 14 25%
Engineering 9 16%
Psychology 2 4%
Chemistry 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 1 2%
Unknown 28 49%

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