Neural Information Processing. Models and Applications
17th International Conference, ICONIP 2010, Sydney, Australia, November 21-25, 2010, Proceedings, Part II
Seiten
2011
|
2010
Springer Berlin (Verlag)
978-3-642-17533-6 (ISBN)
Springer Berlin (Verlag)
978-3-642-17533-6 (ISBN)
The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010.
The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.
The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.
| Erscheint lt. Verlag | 4.1.2011 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XXVI, 740 p. 315 illus., 150 illus. in color. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | adaptive local search • algorithm • Association rule • Bayesian Network • biometrics • bionic vision • Cellular Automaton • Clustering • Computational modeling • Constrained optimization • context modeling • Data Mining • Decision Making • ensemble classifier • feature extraction • genetic programming • Image Retrieval • Knowledge Discovery • machine learning • Multi-Objective Optimization • Neural networks • Object classification • optimization model • Parallel Processing • Pareto-Optimal Solutions • Particle swarm optimization • Recommender Systems • Reinforcement Learning • rough set • Self-Organizing Maps • Semi-Supervised Learning • sensor networks • Simulation • Social network • supervised learning • Support Vector Machine • Swarm intelligence • Tabu Search • text classification • time complexity • traffic surveillance system • Visualization |
| ISBN-10 | 3-642-17533-3 / 3642175333 |
| ISBN-13 | 978-3-642-17533-6 / 9783642175336 |
| Zustand | Neuware |
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