ESANN 2014: Bruges, Belgium

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Advances in Spiking Neural Information Processing Systems (SNIPS)

Vector quantization- and nearest neighbour-based methods

Byte the bullet: learning on real-world computing architectures

Reinforcement learning and optimization

Nonlinear dimensionality reduction

Signal and temporal processing

Learning of structured and non-standard data

Kernel methods

Learning and Modeling Big Data

Classification

Dynamical systems and online learning

Advances on Weightless Neural Systems

Clustering

Regression, Forceasting and Extreme Learning Machines

Label noise in classification