Overview
- Editors:
- Stefan Wermter
Department of Informatics, University of Hamburg, Hamburg, Germany
You can also search for this editor inPubMed Google Scholar
- Cornelius Weber
Department of Informatics, University of Hamburg, Hamburg, Germany
You can also search for this editor inPubMed Google Scholar
- Włodzisław Duch
Department of Informatics, Nicolaus Compernicus University, Torun, Poland
You can also search for this editor inPubMed Google Scholar
- Timo Honkela
Department of Modern Languages, University of Helsinki, Helsinki, Finland
You can also search for this editor inPubMed Google Scholar
- Petia Koprinkova-Hristova
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria
You can also search for this editor inPubMed Google Scholar
- Sven Magg
Department of Informatics, University of Hamburg, Hamburg, Germany
You can also search for this editor inPubMed Google Scholar
- Günther Palm
Institute of Neural Information Processing, University of Ulm, Oberer Eselsberg, Germany
You can also search for this editor inPubMed Google Scholar
- Alessandro E. P. Villa
Department of Information Systems, Quartier UNIL-Dorigny, Bâtiment Internef, University of Lausanne, Lausanne, Switzerland
You can also search for this editor inPubMed Google Scholar
Part of the book series:Lecture Notes in Computer Science (LNCS, volume 8681)
Part of the book sub series:Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICANN 2014.
462kAccesses
This is a preview of subscription content,log in via an institution to check access.
Access this book
Subscribe and save
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
Similar content being viewed by others
Keywords
- computational neuroscience
- distributed computation
- dynamical systems
- ensemble methods
- evolving systems
- machine learning
- neural networks
- parallel distributed system
- particle swarm optimization
- reinforcement learning
- robust pattern recognition
- self-organizing maps
- speech recognition
- support vector machines
- swarm intelligence
- turing machines
- unsupervised learning
- algorithm analysis and problem complexity
Table of contents (105 papers)
Front Matter
Recurrent Networks
Sequence Learning
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning
- Sebastian Otte, Marcus Liwicki, Andreas Zell
Pages 1-8Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN
- Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano
Pages 9-16Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning
- Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Thomas Runkler
Pages 17-24
Echo State Networks
An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks
- Xavier Hinaut, Stefan Wermter
Pages 33-40Memory Capacity of Input-Driven Echo State Networks at the Edge of Chaos
- Peter Barančok, Igor Farkaš
Pages 41-48Adaptive Critical Reservoirs with Power Law Forgetting of Unexpected Input Sequences
- Norbert Michael Mayer
Pages 49-56
Recurrent Network Theory
Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal
- Jérémie Cabessa, Alessandro E. P. Villa
Pages 57-64Attractor Metadynamics in Adapting Neural Networks
- Claudius Gros, Mathias Linkerhand, Valentin Walther
Pages 65-72Basic Feature Quantities of Digital Spike Maps
- Hiroki Yamaoka, Narutoshi Horimoto, Toshimichi Saito
Pages 73-80
Competitive Learning and Self-Organisation
Human Action Recognition with Hierarchical Growing Neural Gas Learning
- German Ignacio Parisi, Cornelius Weber, Stefan Wermter
Pages 89-96Real-Time Anomaly Detection with a Growing Neural Gas
- Nicolai Waniek, Simon Bremer, Jörg Conradt
Pages 97-104Classification with Reject Option Using the Self-Organizing Map
- Ricardo Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme A. Barreto
Pages 105-112
Clustering and Classification
Instance Selection Using Two Phase Collaborative Neighbor Representation
- Fadi Dornaika, I. Kamal Aldine
Pages 121-128
Trees and Graphs
An Algorithm for Directed Graph Estimation
- Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata
Pages 145-152
Other volumes
Artificial Neural Networks and Machine Learning – ICANN 2014
Editors and Affiliations
Department of Informatics, University of Hamburg, Hamburg, Germany
Stefan Wermter, Cornelius Weber, Sven Magg
Department of Informatics, Nicolaus Compernicus University, Torun, Poland
Włodzisław Duch
Department of Modern Languages, University of Helsinki, Helsinki, Finland
Timo Honkela
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria
Petia Koprinkova-Hristova
Institute of Neural Information Processing, University of Ulm, Oberer Eselsberg, Germany
Günther Palm
Department of Information Systems, Quartier UNIL-Dorigny, Bâtiment Internef, University of Lausanne, Lausanne, Switzerland
Alessandro E. P. Villa
Bibliographic Information
Book Title:Artificial Neural Networks and Machine Learning -- ICANN 2014
Book Subtitle:24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings
Editors:Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg,Günther Palm,…Alessandro E. P. Villa
Series Title:Lecture Notes in Computer Science
DOI:https://doi.org/10.1007/978-3-319-11179-7
Publisher:Springer Cham
eBook Packages:Computer Science,Computer Science (R0)
Copyright Information:Springer International Publishing Switzerland 2014
Softcover ISBN:978-3-319-11178-0Published: 22 September 2014
eBook ISBN:978-3-319-11179-7Published: 18 August 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number:1
Number of Pages:XXV, 852
Number of Illustrations:338 b/w illustrations
Topics:Artificial Intelligence,Computation by Abstract Devices,Algorithm Analysis and Problem Complexity,Pattern Recognition,Information Systems Applications (incl. Internet),Image Processing and Computer Vision