Neural Information Processing. Theory and Algorithms

17th International Conference, ICONIP 2010, Sydney, Australia, November 21-25, 2010, Proceedings, Part I
Buch | Softcover
XXVI, 718 Seiten
2011
Springer Berlin (Verlag)
978-3-642-17536-7 (ISBN)
106,99 inkl. MwSt
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.
Erscheint lt. Verlag 4.1.2011
Reihe/Serie Lecture Notes in Computer Science
Theoretical Computer Science and General Issues
Zusatzinfo XXVI, 718 p. 288 illus., 143 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 3-642-17536-8 / 3642175368
ISBN-13 978-3-642-17536-7 / 9783642175367
Zustand Neuware
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