Screen LibraryHandbook on neural information processing /
This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximatio...
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| Corporate Authors: | |
|---|---|
| Group Author: | ; ; |
| Published: |
Springer,
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| Publisher Address: | Berlin ; New York : |
| Publication Dates: | 2013. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Intelligent systems reference library,
49 |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-642-36657-4 |
| Summary: |
This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformat |
| Carrier Form: | 1 online resource. |
| Bibliography: | Includes bibliographical references and author index. |
| ISBN: |
9783642366574 (electronic bk.) 3642366570 (electronic bk.) |
| Index Number: | Q325 |
| CLC: | TP181 |
| Contents: |
Deep Learning of Representations / Recurrent Neural Networks / Supervised Neural Network Models for Processing Graphs / Topics on Cellular Neural Networks / Approximating Multivariable Functions by Feedforward Neural Nets / Bochner Integrals and Neural Networks / Semi-supervised Learning / Statistical Relational Learning / Kernel Methods for Structured Data / Multiple Classifier Systems: Theory, Applications and Tools / Self Organisation and Modal Learning: Algorithms and Applications / Bayesian Networks, Introduction and Practical Applications / Relevance Feedback in Content-Based Image Retrieval: A Survey / Learning Structural Representations of Text Documents in Large Document Collections / Neural Networks in Bioinformatics / |