Artificial Neural Networks and Machine Learning - ICANN 2011

by Honkela, Timo; Duch, Wlodzislaw; Girolami, Mark; Kaski, Samuel

• ISBN13: 9783642217340
• ISBN10: 3642217346
• Format: Paperback
• Copyright: 2011-08-02
• Publisher: Springer-Verlag New York Inc

Summary

This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

Table of Contents

Transformation Equivariant Boltzmann Machines	p. 1
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines	p. 10
A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex	p. 18
l1-Penalized Linear Mixed-Effects Models for BCI	p. 26
Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces	p. 36
Transforming Auto-Encoders	p. 44
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction	p. 52
Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons	p. 60
ESN Intrinsic Plasticity versus Reservoir Stability	p. 69
Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations	p. 77
Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals	p. 85
Unlearning in the BCM Learning Rule for Plastic Self-organization in a Multi-modal Architecture	p. 93
Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism	p. 101
Explicit Class Structure by Weighted Cooperative Learning	p. 109
Unsupervized Data-Driven Partitioning of Multiclass Problems	p. 117
Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks	p. 126
An Improved Training Algorithm for the Linear Ranking Support Vector Machine	p. 134
Extending Tree Kernels with Topological Information	p. 142
Accelerating Kernel Neural Gas	p. 150
State Prediction: A Constructive Method to Program Recurrent Neural Networks	p. 159
Cluster Self-organization of Known and Unknown Environmental Sounds Using Recurrent Neural Network	p. 167
Time-Dependent Series Variance Estimation via Recurrent Neural Networks	p. 176
Historical Consistent Complex Valued Recurrent Neural Network	p. 185
Sparse Spatio-Temporal Gaussian Processes with General Likelihoods	p. 193
Learning Curves for Gaussian Processes via Numerical Cubature Integration	p. 201
Cross-Species Translation of Multi-way Biomarkers	p. 209
An Evaluation of the Image Recognition Method Using Pulse Coupled Neural Network	p. 217
Using the Leader Algorithm with Support Vector Machines for Large Data Sets	p. 225
Automatic Seizure Detection Incorporating Structural Information	p. 233
The Grouped Author-Topic Model for Unsupervised Entity Resolution	p. 241
Kullback-Leibler Divergence for Nonnegative Matrix Factorization	p. 250
Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks	p. 258
Chaotic Complex-Valued Multidirectional Associative Memory with Variable Scaling Factor	p. 266
Predicting Reaction Times in Word Recognition by Unsupervised Learning of Morphology	p. 275
An Examination of the Dynamic Interaction within Metaphor Understanding Using a Model Simulation	p. 283
Visual Pathways for Shape Abstraction	p. 291
Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning	p. 299
OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon	p. 307
On the Problem of Finding the Least Number of Features by L1-Norm Minimisation	p. 315
Extracting Coactivated Features from Multiple Data Sets	p. 323
Single Layer Complex Valued Neural Network with Entropic Cost Function	p. 331
Batch Intrinsic Plasticity for Extreme Learning Machines	p. 339
An Empirical Study on the Performance of Spectral Manifold Learning Techniques	p. 347
Semi-supervised Learning for WLAN Positioning	p. 355
Ensemble-Teacher Learning through a Perception Rule with a Margin	p. 363
Topic-Dependent Document Ranking: Citation Network Analysis by Analogy to Memory Retrieval in the Brain	p. 371
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning	p. 379
Author Index	p. 387
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