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Handbook on Neural Information Processing 2013
- Monica Bianchini, Marco Maggini, Lakhmi C. Jain:
Handbook on Neural Information Processing. Intelligent Systems Reference Library 49, Springer 2013, ISBN 978-3-642-36656-7 - Yoshua Bengio, Aaron C. Courville:
Deep Learning of Representations. 1-28 - Sajid Marhon
, Christopher J. F. Cameron, Stefan C. Kremer:
Recurrent Neural Networks. 29-65 - Monica Bianchini, Marco Maggini:
Supervised Neural Network Models for Processing Graphs. 67-96 - Liviu Goras
Topics on Cellular Neural Networks. 97-141 - Paul C. Kainen, Vera Kurková
Approximating Multivariable Functions by Feedforward Neural Nets. 143-181 - Paul C. Kainen, Andrew Vogt:
Bochner Integrals and Neural Networks. 183-214 - Mohamed Farouk Abdel Hady, Friedhelm Schwenker:
Semi-supervised Learning. 215-239 - Hendrik Blockeel
Statistical Relational Learning. 241-281 - Andrea Passerini
Kernel Methods for Structured Data. 283-333 - Francesco Gargiulo
Multiple Classifier Systems: Theory, Applications and Tools. 335-378 - Dominic Palmer-Brown, Chrisina Jayne
Self Organisation and Modal Learning: Algorithms and Applications. 379-400 - Wim Wiegerinck, Willem Burgers, Bert Kappen:
Bayesian Networks, Introduction and Practical Applications. 401-431 - Jing Li, Nigel M. Allinson
Relevance Feedback in Content-Based Image Retrieval: A Survey. 433-469 - Ah Chung Tsoi
Learning Structural Representations of Text Documents in Large Document Collections. 471-503 - Masood Zamani, Stefan C. Kremer:
Neural Networks in Bioinformatics. 505-525
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