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IJCNN 2006: Vancouver, BC, Canada

Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006. IEEE 2006 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML

Neural Hardware I

Reinforcement Learning Theory I

Neuroinformatics

Learning in Kernel Methods

Neural Modeling of Emotion

Complex-Valued Neural Networks I

Reinforcement Learning Theory II

Neuroscience & Computational Neuroscience I

Support Vector Machines & Kernel Methods I

Neurodynamics of Higher-Level Cognitive Behavior I

Biometrics: Algorithms, Architectures & Applications I

Towards Human-Level Intelligence

Complex-Valued Neural Networks II

Reinforcement Learning Applications

Neuroscience & Computational Neuroscience II

Support Vector Machines & Kernel Methods II

Neurodynamics of Higher-Level Cognitive Behavior II

Biometrics: Algorithms, Architectures & Applications II

Fuzzy Neural Networks

Posters

Neural Hardware II

Supervised Learning I

Modeling the Evolution & Acquisition of Language

Applications of Support Vector Machines & Kernel Methods

Performance Prediction Challenge I

Computational Intelligence in Power Systems I - Identification & Estimation

Signal Processing & Multi-Media

Supervised Learning II

Data Mining & Knowledge Discovery

Probabilistic & Information-Theoretic Methods

Model Selection

Bioinformatics & Bio-Medical Engineering I

Computational Intelligence in Power Systems II - Diagnosis & Control

Military & Security Applications

Evolutionary Approaches for Supervised Learning

Financial Engineering

Ensemble & Other Meta-Learning Algorithms

Performance Prediction Challenge II

Bioinformatics & Bio-Medical Engineering II

Computational Intelligence in Power Systems III - Control of FACTS Devices

Posters

Natural Computation for Temporal Data Processing

Applications of Supervised Learning

Pattern Recognition & Diagnostics I

Attractor Neural Networks & Associative Memory I

Constructive/Hierarchical Self-Organizing Maps

Multi-Objective Machine Learning

Statistical & Pattern Recognition Algorithms I

Supervised Training Methods

Pattern Recognition & Diagnostics II

Attractor Neural Networks & Associative Memory II

Self-Organizing Maps I

Neural Networks Applications to Bioinformatics I

Statistical & Pattern Recognition Algorithms II

Learning & Memory

Diagnostics with Neural Networks

Temporal Data Analysis, Prediction & Forecasting

Self-Organizing Maps II

Neural Networks Applications to Bioinformatics II

Pulse Neural Networks: Theory, Biological Basis & Applications

Unsupervised Learning I

Image Processing

Learning & Dynamics in Attractor & Spiking Neural Networks

Neural Networks for Intelligent Multimedia Processing

Hybrid Neural Intelligent Systems I

Neural Network Applications I

Unsupervised Learning II

Robotics

Machine Learning with Neurodynamics, Chaos & Spiking Neurons

Biologically Inspired Computational Vision I

Computational Intelligence in Earth & Environmental Sciences I

Hybrid Neural Intelligent Systems II

Neural Network Applications II

Applications of Unsupervised Methods

Intelligent Control Theory

Applications of Dynamics & Spiking Neurons

Biologically Inspired Computational Vision II

Computational Intelligence in Earth & Environmental Sciences II

Neural Network Models & Applications in Neuroscience & Neuro-Genetics

Brain-Computer Interfaces

Intelligent Control Applications I

Feature Selection, Extraction & Aggregation I

Supervised Learning in Feedforward Neural Networks

Evolutionary Neural Networks

Computational Intelligence in Earth & Environmental Sciences III

Principles & Applications of Adaptive Information Modeling

Sapient Systems

Intelligent Control Applications II

Feature Selection, Extraction & Aggregation II

Feedforward Neural Networks

Computational Intelligence in Earth & Environmental Sciences IV

Ensemble & Diversity

Cellular Sensory Wave Computers