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ORCID17. ICANN 2007: Porto, Portugal
- Joaquim Marques de Sá, Luís A. Alexandre
, Wlodzislaw Duch, Danilo P. Mandic:
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. Lecture Notes in Computer Science 4668, Springer 2007, ISBN 978-3-540-74689-8
Learning Theory
- Shinichi Nakajima, Sumio Watanabe:
Generalization Error of Automatic Relevance Determination. 1-10 - Takeshi Matsuda, Sumio Watanabe:
On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities. 11-18 - Stefan Babinec, Jiri Pospichal:
Improving the Prediction Accuracy of Echo State Neural Networks by Anti-Oja's Learning. 19-28 - Yu Nishiyama, Sumio Watanabe:
Theoretical Analysis of Accuracy of Gaussian Belief Propagation. 29-38 - Héctor F. Satizábal, Andrés Pérez-Uribe:
Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks. 39-48 - Feng Liu, Fengzhan Tian, QiLiang Zhu:
An Improved Greedy Bayesian Network Learning Algorithm on Limited Data. 49-57 - Rowland R. Sillito, Robert B. Fisher:
Incremental One-Class Learning with Bounded Computational Complexity. 58-67 - Georgios Lappas:
Estimating the Size of Neural Networks from the Number of Available Training Data. 68-77 - Yiu-ming Cheung, Hong Zeng:
A Maximum Weighted Likelihood Approach to Simultaneous Model Selection and Feature Weighting in Gaussian Mixture. 78-87 - Ryosuke Iriguchi, Sumio Watanabe:
Estimation of Poles of Zeta Function in Learning Theory Using Padé Approximation. 88-97 - M. A. H. Akhand, Kazuyuki Murase:
Neural Network Ensemble Training by Sequential Interaction. 98-108 - Daniel Schneegaß, Steffen Udluft, Thomas Martinetz:
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification. 109-118
Advances in Neural Network Learning Methods
- Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter:
Structure Learning with Nonparametric Decomposable Models. 119-128 - Jirí Grim, Jan Hora:
Recurrent Bayesian Reasoning in Probabilistic Neural Networks. 129-138 - Thorsten Suttorp, Christian Igel:
Resilient Approximation of Kernel Classifiers. 139-148 - Koichiro Yamauchi, Masayoshi Sato:
Incremental Learning of Spatio-temporal Patterns with Model Selection. 149-158 - Daniel García, Ana M. González, José R. Dorronsoro:
Accelerating Kernel Perceptron Learning. 159-168 - Akihide Horita, Kenji Nakayama, Akihiro Hirano:
Analysis and Comparative Study of Source Separation Performances in Feed-Forward and Feed-Back BSSs Based on Propagation Delays in Convolutive Mixture. 169-179 - Marek Grochowski, Wlodzislaw Duch:
Learning Highly Non-separable Boolean Functions Using Constructive Feedforward Neural Network. 180-189 - Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela:
A Fast Semi-linear Backpropagation Learning Algorithm. 190-198 - Abderrahmane Boubezoul, Sébastien Paris, Mustapha Ouladsine:
Improving the GRLVQ Algorithm by the Cross Entropy Method. 199-208 - Enrique Romero, Ignacio Barrio, Lluís Belanche:
Incremental and Decremental Learning for Linear Support Vector Machines. 209-218 - Cláudio M. S. Medeiros, Guilherme De A. Barreto:
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors. 219-228 - Yuki Taniguchi, Takeshi Mori, Shin Ishii:
Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System. 229-238 - Jarkko Tikka:
Input Selection for Radial Basis Function Networks by Constrained Optimization. 239-248 - Stefan Duffner, Christophe Garcia:
An Online Backpropagation Algorithm with Validation Error-Based Adaptive Learning Rate. 249-258 - Chun-Cheng Peng, George D. Magoulas:
Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks. 259-268 - Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski:
Some Properties of the Gaussian Kernel for One Class Learning. 269-278 - Antonino Fiannaca, Giuseppe Di Fatta, Salvatore Gaglio, Riccardo Rizzo, Alfonso Urso:
Improved SOM Learning Using Simulated Annealing. 279-288 - Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles Henrique de Medeiros:
The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization. 289-298
Ensemble Learning
- Eva Volná:
Designing Modular Artificial Neural Network Through Evolution. 299-308 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks. 309-318 - Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez:
Selection of Decision Stumps in Bagging Ensembles. 319-328 - Matthew Prior, Terry Windeatt:
An Ensemble Dependence Measure. 329-338 - Emilio Corchado, Bruno Baruque, Hujun Yin:
Boosting Unsupervised Competitive Learning Ensembles. 339-348 - Anne M. P. Canuto, Márjory C. C. Abreu:
Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of Diversity. 349-359
Spiking Neural Networks
- David Gamez:
SpikeStream: A Fast and Flexible Simulator of Spiking Neural Networks. 360-369 - Yaochu Jin, Ruojing Wen, Bernhard Sendhoff:
Evolutionary Multi-objective Optimization of Spiking Neural Networks. 370-379 - Florian Kaiser, Fridtjof Feldbusch:
Building a Bridge Between Spiking and Artificial Neural Networks. 380-389 - Lakshmi Narayana Panuku, C. Chandra Sekhar:
Clustering of Nonlinearly Separable Data Using Spiking Neural Networks. 390-399 - Chong Liu, Jonathan Shapiro:
Implementing Classical Conditioning with Spiking Neurons. 400-410
Advances in Neural Network Architectures
- Wolfgang Hübner, Hanspeter A. Mallot:
Deformable Radial Basis Functions. 411-420 - Ignacio Barrio, Enrique Romero, Lluís Belanche:
Selection of Basis Functions Guided by the L2 Soft Margin. 421-430 - Ignacio Barrio, Enrique Romero, Lluís Belanche:
Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors. 431-440 - Qinggang Meng, Baihua Li, Nicholas Costen, Horst Holstein:
Functional Modelling of Large Scattered Data Sets Using Neural Networks. 441-449 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Stacking MF Networks to Combine the Outputs Provided by RBF Networks. 450-459 - Simon McGregor:
Neural Network Processing for Multiset Data. 460-470 - Benjamin Schrauwen, Jeroen Defour, David Verstraeten, Jan M. Van Campenhout:
The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition. 471-479 - Ryotaro Kamimura:
Partially Activated Neural Networks by Controlling Information. 480-489 - K. Murugesan, P. Elango:
CNN Based Hole Filler Template Design Using Numerical Integration Techniques. 490-500 - Ralf Eickhoff, Tim Kaulmann, Ulrich Rückert:
Impact of Shrinking Technologies on the Activation Function of Neurons. 501-510 - Vicenç Soler, Marta Prim:
Rectangular Basis Functions Applied to Imbalanced Datasets. 511-519 - Xavier Parra, Andreu Català:
Qualitative Radial Basis Function Networks Based on Distance Discretization for Classification Problems. 520-528 - Tim Kaulmann, Axel Löffler, Ulrich Rückert:
A Control Approach to a Biophysical Neuron Model. 529-538 - Héctor Mesa, Francisco J. Veredas:
Integrate-and-Fire Neural Networks with Monosynaptic-Like Correlated Activity. 539-548 - Alex Graves, Santiago Fernández, Jürgen Schmidhuber:
Multi-dimensional Recurrent Neural Networks. 549-558 - Giuliano Grossi, Federico Pedersini:
FPGA Implementation of an Adaptive Stochastic Neural Model. 559-568
Neural Dynamics and Complex Systems
- Yonggui Kao, Qinghe Ming:
Global Robust Stability of Competitive Neural Networks with Continuously Distributed Delays and Different Time Scales. 569-578 - Javier Iglesias, Olga K. Chibirova, Alessandro E. P. Villa:
Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic Processes. 579-588 - Juan J. Fuertes-Martínez, Miguel A. Prada, Manuel Domínguez-González, Perfecto Reguera-Acevedo, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega:
Modeling of Dynamics Using Process State Projection on the Self Organizing Map. 589-598 - Marie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Fixed Points of the Abe Formulation of Stochastic Hopfield Networks. 599-608 - Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez González, Juan J. Fuertes-Martínez, Manuel Domínguez-González, Perfecto Reguera-Acevedo:
Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps. 609-617 - Michal Cernanský, Peter Tiño:
Comparison of Echo State Networks with Simple Recurrent Networks and Variable-Length Markov Models on Symbolic Sequences. 618-627
Data Analysis
- Changjian Huang, Mark J. Embrechts, Nagamani Sukumar, Curt M. Breneman:
Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR). 628-637 - Leonid B. Litinskii:
Cluster Domains in Binary Minimization Problems. 638-647 - Leonardo Franco, José Luis Subirats, José M. Jerez:
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set. 648-656 - Jörg Lücke, Maneesh Sahani:
Generalized Softmax Networks for Non-linear Component Extraction. 657-667 - Ying Wu, Colin Fyfe, Pei Ling Lai:
Stochastic Weights Reinforcement Learning for Exploratory Data Analysis. 668-676 - Zoltán Szabó, Barnabás Póczos, Gábor Szirtes, András Lörincz:
Post Nonlinear Independent Subspace Analysis. 677-686
Estimation
- Kenji Nagata, Sumio Watanabe:
Algebraic Geometric Study of Exchange Monte Carlo Method. 687-696 - Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber:
Solving Deep Memory POMDPs with Recurrent Policy Gradients. 697-706 - Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Soft Clustering for Nonparametric Probability Density Function Estimation. 707-716 - Yasuaki Kuroe, Hajimu Kawakami:
Vector Field Approximation by Model Inclusive Learning of Neural Networks. 717-726 - Javier González, Alberto Muñoz:
Spectral Measures for Kernel Matrices Comparison. 727-736 - David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead:
A Novel and Efficient Method for Testing Non Linear Separability. 737-746 - Nikolay Y. Nikolaev, Evgueni N. Smirnov:
A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems. 747-756
Spatial and Spatio-Temporal Learning
- Masahiko Yoshioka, Silvia Scarpetta, Maria Marinaro:
Spike-Timing-Dependent Synaptic Plasticity to Learn Spatiotemporal Patterns in Recurrent Neural Networks. 757-766 - Max Welling, Joseph J. Lim:
A Distributed Message Passing Algorithm for Sensor Localization. 767-775 - Wolfgang Stürzl, Hanspeter A. Mallot, Alois C. Knoll:
An Analytical Model of Divisive Normalization in Disparity-Tuned Complex Cells. 776-787
Evolutionary Computing
- Naser NourAshrafoddin, Ali R. Vahdat, Mohammad Mehdi Ebadzadeh:
Automatic Design of Modular Neural Networks Using Genetic Programming. 788-798 - Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet:
Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints. 799-808
Meta Learning, Agents Learning
- Rongfang Bie, Xin Jin, Chuanliang Chen, Chuan Xu, Ronghuai Huang:
Meta Learning Intrusion Detection in Real Time Network. 809-816 - Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Active Learning to Support the Generation of Meta-examples. 817-826 - Viktor Gyenes, András Lörincz:
Co-learning and the Development of Communication. 827-837
Complex-Valued Neural Networks (Special Session)
- Yasuaki Kuroe, Yuriko Taniguchi:
Models of Orthogonal Type Complex-Valued Dynamic Associative Memories and Their Performance Comparison. 838-847 - Teijiro Isokawa, Haruhiko Nishimura, Naotake Kamiura, Nobuyuki Matsui:
Dynamics of Discrete-Time Quaternionic Hopfield Neural Networks. 848-857 - Simone G. O. Fiori:
Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of Matrices. 858-863 - Sven Buchholz, Kanta Tachibana, Eckhard M. S. Hitzer:
Optimal Learning Rates for Clifford Neurons. 864-873 - Igor N. Aizenberg, Jacek M. Zurada:
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN). 874-883 - Chor Shen Tay, Ken Tanizawa, Akira Hirose:
Error Reduction in Holographic Movies Using a Hybrid Learning Method in Coherent Neural Networks. 884-893
Temporal Synchronization and Nonlinear Dynamics in Neural Networks (Special Session)
- Sven Rebhan, Julian Eggert, Horst-Michael Groß, Edgar Körner:
Sparse and Transformation-Invariant Hierarchical NMF. 894-903 - Raul Vicente, Gordon Pipa, Ingo Fischer, Claudio R. Mirasso:
Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying. 904-913 - Giovanni Egidio Pazienza, Eduardo Gómez-Ramírez, Xavier Vilasís-Cardona:
Polynomial Cellular Neural Networks for Implementing the Game of Life. 914-923 - Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa:
Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model. 924-933 - Matthieu Lagarde, Pierre Andry, Philippe Gaussier:
The Role of Internal Oscillators for the One-Shot Learning of Complex Temporal Sequences. 934-943 - Jan-Hendrik Schleimer, Ricardo Vigário:
Clustering Limit Cycle Oscillators by Spectral Analysis of the Synchronisation Matrix with an Additional Phase Sensitive Rotation. 944-953 - Manish Dev Shrimali, Guoguang He, Sudeshna Sinha, Kazuyuki Aihara:
Control and Synchronization of Chaotic Neurons Under Threshold Activated Coupling. 954-962 - Cristina Masoller, M. C. Torrent, Jordi García-Ojalvo:
Neuronal Multistability Induced by Delay. 963-972
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