Artificial Neural Networks and Machine Learning -- ICANN 2012 : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II

The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting. Front Matter....Pages - Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility Mapping....Pages 1-8 Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning....Pages 9-16 Some Comparisons of Networks with Radial and Kernel Units....Pages 17-24 Multilayer Perceptron for Label Ranking....Pages 25-32 Electricity Load Forecasting: A Weekday-Based Approach....Pages 33-41 Adaptive Exploration Using Stochastic Neurons....Pages 42-49 Comparison of Long-Term Adaptivity for Neural Networks....Pages 50-57 Simplifying ConvNets for Fast Learning....Pages 58-65 A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines....Pages 66-73 Retracted: Robust Training of Feedforward Neural Networks Using Combined Online/Batch Quasi-Newton Techniques....Pages 74-83 Estimating a Causal Order among Groups of Variables in Linear Models....Pages 84-91 Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization....Pages 92-99 A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks....Pages 100-107 Learning Parameters of Linear Models in Compressed Parameter Space....Pages 108-115 Control of a Free-Falling Cat by Policy-Based Reinforcement Learning....Pages 116-123 Gated Boltzmann Machine in Texture Modeling....Pages 124-131 Neural PCA and Maximum Likelihood Hebbian Learning on the GPU....Pages 132-139 Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm Optimisation....Pages 140-147 The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study....Pages 148-155 Nested Sequential Minimal Optimization for Support Vector Machines....Pages 156-163 Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble....Pages 164-171 Text Recognition in Videos Using a Recurrent Connectionist Approach....Pages 172-179 An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data....Pages 180-188 New Dynamic Classifiers Selection Approach for Handwritten Recognition....Pages 189-196 Vector Perceptron Learning Algorithm Using Linear Programming....Pages 197-204 A Robust Objective Function of Joint Approximate Diagonalization....Pages 205-212 TrueSkill-Based Pairwise Coupling for Multi-class Classification....Pages 213-220 Analogical Inferences in the Family Trees Task: A Review....Pages 221-228 An Efficient Way of Combining SVMs for Handwritten Digit Recognition....Pages 229-237 Comparative Evaluation of Regression Methods for 3D-2D Image Registration....Pages 238-245 A MDRNN-SVM Hybrid Model for Cursive Offline Handwriting Recognition....Pages 246-254 Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure....Pages 255-262 Instance Selection with Neural Networks for Regression Problems....Pages 263-270 A New Distance for Probability Measures Based on the Estimation of Level Sets....Pages 271-278 Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis....Pages 279-287 Improving Neural Networks Classification through Chaining....Pages 288-295 Feature Ranking Methods Used for Selection of Prototypes....Pages 296-304 A “Learning from Models” Cognitive Fault Diagnosis System....Pages 305-313 Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm....Pages 314-321 Learning Using Privileged Information in Prototype Based Models....Pages 322-329 A Sparse Support Vector Machine Classifier with Nonparametric Discriminants....Pages 330-338 Training Mahalanobis Kernels by Linear Programming....Pages 339-346 Correntropy-Based Document Clustering via Nonnegative Matrix Factorization....Pages 347-354 SOMM – Self-Organized Manifold Mapping....Pages 355-362 Self-Organizing Map and Tree Topology for Graph Summarization....Pages 363-370 Variable-Sized Kohonen Feature Map Probabilistic Associative Memory....Pages 371-378 Learning Deep Belief Networks from Non-stationary Streams....Pages 379-386 Separation and Unification of Individuality and Collectivity and Its Application to Explicit Class Structure in Self-Organizing Maps....Pages 387-394 Autoencoding Ground Motion Data for Visualisation....Pages 395-402 Examining an Evaluation Mechanism of Metaphor Generation with Experiments and Computational Model Simulation....Pages 403-410 Pairwise Clustering with t-PLSI....Pages 411-418 Selecting β -Divergence for Nonnegative Matrix Factorization by Score Matching....Pages 419-426 Neural Networks for Proof-Pattern Recognition....Pages 427-434 Using Weighted Clustering and Symbolic Data to Evaluate Institutes’s Scientific Production....Pages 435-442 Comparison of Input Data Compression Methods in Neural Network Solution of Inverse Problem in Laser Raman Spectroscopy of Natural Waters....Pages 443-450 New Approach for Clustering Relational Data Based on Relationship and Attribute Information....Pages 451-458 Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms....Pages 459-466 Text Mining for Wellbeing: Selecting Stories Using Semantic and Pragmatic Features....Pages 467-474 Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts....Pages 475-482 Estimating Quantities: Comparing Simple Heuristics and Machine Learning Algorithms....Pages 483-490 Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets....Pages 491-498 Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers....Pages 499-506 The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes....Pages 507-514 Protein Structural Blocks Representation and Search through Unsupervised NN....Pages 515-522 Evolutionary Support Vector Machines for Time Series Forecasting....Pages 523-530 Learning Relevant Time Points for Time-Series Data in the Life Sciences....Pages 531-539 A Multivariate Approach to Estimate Complexity of FMRI Time Series....Pages 540-547 Neural Architectures for Global Solar Irradiation and Air Temperature Prediction....Pages 548-556 Sparse Linear Wind Farm Energy Forecast....Pages 557-564 Diffusion Maps and Local Models for Wind Power Prediction....Pages 565-572 A Hybrid Model for S&P500 Index Forecasting....Pages 573-581 Erratum: Robust Training of Feedforward Neural Networks Using Combined Online/Batch Quasi-Newton Techniques....Pages E1-E1 Back Matter....Pages -