Artificial Neural Networks and Machine Learning ICANN 2014 24th International Conference on Artificial Neural Networks Hamburg Germany September 15 19 2014 Proceedings 1st Edition by Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova Hristova, Sven Magg, Gunther Palm, Alessandro E P Villa ISBN 3319111787‎ 978-3319111780

Artificial Neural Networks and Machine Learning ICANN 2014 24th International Conference on Artificial Neural Networks Hamburg Germany September 15 19 2014 Proceedings 1st Edition by Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa – Ebook PDF Instant Download/Delivery: 3319111787‎, 978-3319111780

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Product details:

ISBN 10: 3319111787

ISBN 13:‎ 978-3319111780 

Author: Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa

The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014.
The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications.

Table of contents:

1. Recurrent Networks
2. Sequence Learning
3. Echo State Networks
4. Recurrent Network Theory
5. Competitive Learning and Self-Organisation
6. Clustering and Classification
7. Trees and Graphs
8. Human-Machine Interaction
9. Deep Networks
10. Theory
11. Optimization
12. Layered Networks
13. Reinforcement Learning and Action
14. Vision
15. Detection and Recognition
16. Invariances and Shape Recovery
17. Attention and Pose Estimation
18. Supervised Learning
19. Ensembles
20. Regression
21. Classification
22. Dynamical Models and Time Series
23. Neuroscience
24. Cortical Models
25. Line Attractors and Neural Fields
26. Spiking and Single Cell Models
27. Applications
28. Users and Social Technologies
29. Demonstrations

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Tags: Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova Hristova, Sven Magg, Gunther Palm, Alessandro E P Villa, Artificial Neural Networks, Machine Learning, ICANN, Conference Proceedings