dblp: ICANN 2007 (original) (raw)

default search action

• combined dblp search
• author search
• venue search
• publication search

Authors:

• no matches
• 

Venues:

• no matches
• 

Publications:

• no matches
• 

17. ICANN 2007: Porto, Portugal

• 

• 

• 

• 

• 
  jump to

  • Learning Theory
  • Ensemble Learning
  • Advances in Neural Network Architectures
  • Data Analysis
  • Spatial and Spatio-Temporal Learning
  • Meta Learning, Agents Learning
  • Temporal Synchronization and Nonlinear Dynamics in Neural Networks (Special Session)

• 

• > Home > Conferences and Workshops > ICANN

SPARQL queries

Refine list

refinements active!

zoomed in on ?? of ?? records

view refined list in

export refined list as

• 
  • 
  • 
  • 
  • 
    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

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.

Unpaywalled article links

Add open access links from to the list of external document links (if available).

load links from unpaywall.org

Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.

Archived links via Wayback Machine

For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).

load content from archive.org

Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.

Reference lists

Add a list of references from , , and to record detail pages.

load references from crossref.org and opencitations.net

Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.

Citation data

Add a list of citing articles from and to record detail pages.

load citations from opencitations.net

Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.

OpenAlex data

Load additional information about publications from .

load data from openalex.org

Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.

dblp was originally created in 1993 at:

since 2018, dblp has been operated and maintained by: