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Cesare Alippi, Marios Polycarpou, Christos Panayiotou and Georgios Ellinas
Front matter
1-9
Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems
10-19
Kernel Learning for Local Learning Based Clustering
20-29
Projective Nonnegative Matrix Factorization with α-Divergence
30-39
Active Generation of Training Examples in Meta-Regression
40-49
A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains
50-59
Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning
60-69
MINLIP: Efficient Learning of Transformation Models
70-79
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
80-89
Optimal Training Sequences for Locally Recurrent Neural Networks
90-99
Statistical Instance-Based Ensemble Pruning for Multi-class Problems
100-110
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes
111-120
Mixing Different Search Biases in Evolutionary Learning Algorithms
121-130
Semi-supervised Learning for Regression with Co-training by Committee
131-140
An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data
141-150
Probability-Based Distance Function for Distance-Based Classifiers
151-160
Constrained Learning Vector Quantization or Relaxed k-Separability
161-170
Minimization of Quadratic Binary Functional with Additive Connection Matrix
171-180
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory
181-190
Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses
191-197
Coexistence of Cell Assemblies and STDP
198-207
Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control
208-217
Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain
218-228
A Model of Neuronal Specialization Using Hebbian Policy-Gradient with “Slow” Noise
229-238
How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition
239-248
Optimizing Generic Neural Microcircuits through Reward Modulated STDP
249-258
Calcium Responses Model in Striatum Dependent on Timed Input Sources
259-266
Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2
267-276
Hippocampus, Amygdala and Basal Ganglia Based Navigation Control
277-286
A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks
287-295
Continuous Attractors of Lotka-Volterra Recurrent Neural Networks
296-305
Learning Complex Population-Coded Sequences
306-314
Structural Analysis on STDP Neural Networks Using Complex Network Theory
315-324
Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity
325-334
Information Processing and Timing Mechanisms in Vision
335-344
Review of Neuron Types in the Retina: Information Models for Neuroengineering
345-355
Brain Electric Microstate and Perception of Simultaneously Audiovisual Presentation
356-362
A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive Fields
363-372
Area Chip Consumption by a Novel Digital CNN Architecture for Pattern Recognition
373-380
Multifold Acceleration of Neural Network Computations Using GPU
381-390
Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit
391-400
A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor
401-409
Current-Mode Computation with Noise in a Scalable and Programmable Probabilistic Neural VLSI System
410-420
Minimising Contrastive Divergence with Dynamic Current Mirrors
421-428
Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis
429-438
Image Recognition in Analog VLSI with On-Chip Learning
439-448
Behavior Modeling by Neural Networks
449-458
Statistical Parameter Identification of Analog Integrated Circuit Reverse Models
459-466
A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input Potentials
467-474
FPGA Implementation of Support Vector Machines for 3D Object Identification
475-484
Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks Using Fractional Fixed Point Representation
485-494
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
495-504
Image Theft Detection with Self-Organising Maps
505-514
Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns
515-524
Surface Reconstruction Method Based on a Growing Self-Organizing Map
525-535
Micro-SOM: A Linear-Time Multivariate Microaggregation Algorithm Based on Self-Organizing Maps
536-545
Identifying Clusters Using Growing Neural Gas: First Results
546-556
Hierarchical Architecture with Modular Network SOM and Modular Reinforcement Learning
557-566
Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems
567-576
Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model
577-586
Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series
587-597
Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations
598-607
Height Defuzzification Method on L ∞ Space
608-617
An Additive Reinforcement Learning
618-627
Neural Spike Suppression by Adaptive Control of an Unknown Steady State
628-637
Combined Mechanisms of Internal Model Control and Impedance Control under Force Fields
638-647
Neural Network Control of Unknown Nonlinear Systems with Efficient Transient Performance
648-657
High-Order Fuzzy Switching Neural Networks: Application to the Tracking Control of a Class of Uncertain SISO Nonlinear Systems
658-667
A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward Network
668-677
Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions
678-687
On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study
688-697
Dynamics of Incremental Learning by VSF-Network
698-707
Kernel CMAC with Reduced Memory Complexity
708-717
Model Complexity of Neural Networks and Integral Transforms
718-727
Function Decomposition Network
728-736
Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes
737-746
Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner’s Dilemma
747-756
Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots
757-766
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
767-778
Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals
779-788
A Neural Network Model of Metaphor Generation with Dynamic Interaction
789-798
Almost Random Projection Machine
799-806
Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance
807-816
Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method
817-823
Neuro-fuzzy Rough Classifier Ensemble
824-833
Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset
834-843
An Automatic Parameter Adjustment Method of Pulse Coupled Neural Network for Image Segmentation
844-853
Pattern Identification by Committee of Potts Perceptrons
854-863
Is Primal Better Than Dual
864-873
A Fast BMU Search for Support Vector Machine
874-883
European Option Pricing by Using the Support Vector Regression Approach
884-893
Learning SVMs from Sloppily Labeled Data
894-903
The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech
904-912
A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems
913-922
Spanning SVM Tree for Personalized Transductive Learning
923-931
Improving Text Classification Performance with Incremental Background Knowledge
932-941
Empirical Study of the Universum SVM Learning for High-Dimensional Data
942-951
Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection
952-963
Understanding the Principles of Recursive Neural Networks: A Generative Approach to Tackle Model Complexity
964-974
An EM Based Training Algorithm for Recurrent Neural Networks
975-984
Modeling Dst with Recurrent EM Neural Networks
985-994
On the Quantification of Dynamics in Reservoir Computing
995-1004
Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks
1005-1014
Scalable Neural Networks for Board Games
1015-1024
Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems
Back matter
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