ESANN B

105 papers

YearTitle / Authors
200614th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26-28, 2006, Proceedings
2006A Cyclostationary Neural Network model for the prediction of the NO2 concentration.
Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Chiara Mocenni, Augusto Pucci
2006A Gaussian process latent variable model formulation of canonical correlation analysis.
Gayle Leen, Colin Fyfe
2006A multiagent architecture for concurrent reinforcement learning.
Víctor Uc Cetina
2006A new hyperbolic visualization method for displaying the results of a neural gas model: application to Webometrics.
Shadi Al Shehabi, Jean-Charles Lamirel
2006A sequence-encoding neural network for face recognition.
Marek Barwinski, Rolf P. Würtz
2006A simple idea to separate convolutive mixtures in an undetermined scenario.
Maciej Pedzisz, Ali Mansour
2006A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges.
Rémi Gribonval, Sylvain Lesage
2006A time-scale correlation-based blind separation method applicable to correlated sources.
Yannick Deville, Dass Bissessur, Matthieu Puigt, Shahram Hosseini, Hervé Carfantan
2006Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM).
Tong Boon Tang, Alan F. Murray
2006Adaptive scene-dependent filters in online learning environments.
Michael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge J. Ritter
2006An algorithm for fast and reliable ESOM learning.
Mario Nöcker, Fabian Mörchen, Alfred Ultsch
2006Artificial neural networks and machine learning for man-machine-interfaces - processing of nervous signals.
Martin Bogdan, Michael Bensch
2006Bayesian source separation: beyond PCA and ICA.
Ali Mohammad-Djafari
2006Bootstrap feature selection in support vector machines for ventricular fibrillation detection.
Felipe Alonso Atienza, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Alfredo Rosado Muñoz, Arcadi García-Alberola
2006Classification by means of Evolutionary Response Surfaces.
Rafael del Castillo Gomariz, Nicolás García-Pedrajas
2006Classification of Boar Sperm Head Images using Learning Vector Quantization.
Michael Biehl, Piter Pasma, Marten Pijl, Lidia Sánchez, Nicolai Petkov
2006Cluster detection algorithm in neural networks.
David Meunier, Hélène Paugam-Moisy
2006Connection strategies in neocortical networks.
Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt
2006Consistent estimation of the architecture of multilayer perceptrons.
Joseph Rynkiewicz
2006Construction of a memory management system in an on-line learning mechanism.
Francisco Bellas, José Antonio Becerra, Richard J. Duro
2006Cultures of dissociated neurons display a variety of avalanche behaviours.
Roberta Alessio, Laura Cozzi, Vittorio Sanguineti
2006Data mining techniques for feature selection in blood cell recognition.
Tomasz Markiewicz, Stanislaw Osowski
2006Data topology visualization for the Self-Organizing Map.
Kadim Tasdemir, Erzsébet Merényi
2006Degeneracy in model selection for SVMs with radial Gaussian kernel.
Tobias Glasmachers
2006Designing neural network committees by combining boosting ensembles.
Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2006Determination of the Mahalanobis matrix using nonparametric noise estimations.
Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen
2006Discriminacy of the minimum range approach to blind separation of bounded sources.
Dinh-Tuan Pham, Frédéric Vrins
2006Diversity creation in local search for the evolution of neural network ensembles.
Pete Duell, Iris Fermin, Xin Yao
2006Dynamical reservoir properties as network effects.
Carlos Lourenço
2006EM-algorithm for training of state-space models with application to time series prediction.
Elia Liitiäinen, Nima Reyhani, Amaury Lendasse
2006Efficient Forward Regression with Marginal Likelihood.
Ping Sun, Xin Yao
2006Elucidating the structure of genetic regulatory networks: a study of a second order dynamical model on artificial data.
Minh Quach, Pierre Geurts
2006Enhanced maxcut clustering with multivalued neural networks and functional annealing.
Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato
2006Entropy-based principle and generalized contingency tables.
Vincent Vigneron
2006Evolino for recurrent support vector machines.
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez
2006Evolving multi-segment 'super-lamprey' CPG's for increased swimming control.
Leena N. Patel, Alan F. Murray, John Hallam
2006Exploring the role of intrinsic plasticity for the learning of sensory representations.
Nicholas Butko, Jochen Triesch
2006Extended model of conditioned learning within latent inhibition.
Nicolas Gomond, Jean Marc Salotti
2006FPGA implementation of an integrate-and-fire LEGION model for image segmentation.
Bernard Girau, César Torres-Huitzil
2006FastISA: A fast fixed-point algorithm for independent subspace analysis.
Aapo Hyvärinen, Urs Köster
2006Freeform surface induction from projected planar curves via neural networks.
Usman Khan, Abdelaziz Terchi, Sungwoo Lim, David Wright, Sheng Feng Qin
2006Fuzzy image segmentation with Fuzzy Labelled Neural Gas.
Cornelia Brüß, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert
2006Gaussian and exponential architectures in small-world associative memories.
Lee Calcraft, Rod Adams, Neil Davey
2006Generalization properties of spiking neurons trained with ReSuMe method.
Filip Ponulak, Andrzej J. Kasinski
2006Hierarchical analysis of GSM network performance data.
Mikko Multanen, Kimmo Raivio, Pasi Lehtimäki
2006Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images.
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpour
2006Hybrid generative/discriminative training of radial basis function networks.
Artur J. Ferreira, Mário A. T. Figueiredo
2006Immune Network based Ensembles.
Nicolás García-Pedrajas, Colin Fyfe
2006Independent dynamics subspace analysis.
Alexander Ilin
2006Iterative context compilation for visual object recognition.
Jens Teichert, Rainer Malaka
2006LS-SVM functional network for time series prediction.
Tuomas Kärnä, Fabrice Rossi, Amaury Lendasse
2006Lag selection for regression models using high-dimensional mutual information.
Geoffroy Simon, Michel Verleysen
2006Learning Visual Invariance.
Alessio Plebe
2006Learning and discrimination through STDP in a top-down modulated associative memory.
Anthony Mouraud, Hélène Paugam-Moisy
2006Learning for stochastic dynamic programming.
Sylvain Gelly, Jérémie Mary, Olivier Teytaud
2006Learning what is important: feature selection and rule extraction in a virtual course.
Terence A. Etchells, Àngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica
2006Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints.
Antoine Mahul, Alexandre Aussem
2006Linking non-binned spike train kernels to several existing spike train metrics.
Benjamin Schrauwen, Jan M. Van Campenhout
2006Magnification control for batch neural gas.
Barbara Hammer, Alexander Hasenfuss, Thomas Villmann
2006Margin based Active Learning for LVQ Networks.
Frank-Michael Schleif, Barbara Hammer, Thomas Villmann
2006Modelling switching dynamics using prediction experts operating on distinct wavelet scales.
Alexandre Aussem, Pierre Chainais
2006Neural networks and machine learning in bioinformatics - theory and applications.
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann
2006Non-linear gating network for the large scale classification model CombNET-II.
Mauricio Kugler, Toshiyuki Miyatani, Susumu Kuroyanagi, Anto Satriyo Nugroho, Akira Iwata
2006Non-orthogonal Support Width ICA.
John Aldo Lee, Frédéric Vrins, Michel Verleysen
2006Nonlinear dynamics in neural computation.
Tjeerd Olde Scheper, Nigel T. Crook
2006Nonlinear transient computation and variable noise tolerance.
Nigel T. Crook
2006On the selection of hidden neurons with heuristic search strategies for approximation.
Ignacio Barrio, Enrique Romero, Lluís A. Belanche Muñoz
2006On-line adaptation of neuro-prostheses with neuronal evaluation signals.
Klaus Pawelzik, Udo A. Ernst, David Rotermund
2006OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method.
Daniel Schneegaß, Thomas Martinetz, Michael Clausohm
2006Optimal design of hierarchical wavelet networks for time-series forecasting.
Yuehui Chen, Bo Yang, Ajith Abraham
2006Outlier identification with the Harmonic Topographic Mapping.
Marian Pena, Colin Fyfe
2006Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic.
Benjamin Schrauwen, Jan M. Van Campenhout
2006Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms.
Frédéric Ratle, Anne-Laure Terrettaz, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux
2006Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system.
Zahra Hamou Mamar, Pierre Chainais, Alexandre Aussem
2006Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms.
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Alexander Ross
2006Recent trends in online learning for cognitive robots.
Jochen J. Steil, Heiko Wersing
2006Recognition of handwritten digits using sparse codes generated by local feature extraction methods.
Rebecca Steinert, Martin Rehn, Anders Lansner
2006Reducing policy degradation in neuro-dynamic programming.
Thomas Gabel, Martin A. Riedmiller
2006Robust Local Cluster Neural Networks.
Ralf Eickhoff, Joaquin Sitte, Ulrich Rückert
2006Rotation-based ensembles of RBF networks.
Juan José Rodríguez, Jesús Maudes, Carlos J. Alonso
2006Saliency extraction with a distributed spiking neural network.
Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy
2006Sanger-driven MDSLocalize - a comparative study for genomic data.
Marc Strickert, Nese Sreenivasulu, Udo Seiffert
2006Selection of more than one gene at a time for cancer prediction from gene expression data.
Oleg Okun, Nikolay G. Zagoruiko, Alexessander Alves, Olga Kutnenko, Irina Borisova
2006Semi-Blind Approaches for Source Separation and Independent component Analysis.
Massoud Babaie-Zadeh, Christian Jutten
2006Some experimental results with a two level memory management system in the multilevel darwinist brain.
Francisco Bellas, José Antonio Becerra, Richard J. Duro
2006Source separation with priors on the power spectrum of the sources.
Jorge Igual, Raul Llinares, Andrés Camacho
2006Spatial filters for the classification of event-related potentials.
Ulrich Hoffmann, Jean-Marc Vesin, Touradj Ebrahimi
2006Stochastic Processes for Canonical Correlation Analysis.
Colin Fyfe, Gayle Leen
2006Synthesis of maximum margin and multiview learning using unlabeled data.
Sándor Szedmák, John Shawe-Taylor
2006The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks.
Andreea Lazar, Gordon Pipa, Jochen Triesch
2006The permutation test for feature selection by mutual information.
Damien François, Vincent Wertz, Michel Verleysen
2006Time series prediction using DirRec strategy.
Antti Sorjamaa, Amaury Lendasse
2006Topological Correlation.
Kevin A. J. Doherty, Rod Adams, Neil Davey
2006Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD.
Jochen J. Steil, Risto Kõiva, Alessandro Sperduti
2006Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks.
Aloísio Carlos de Pina, Gerson Zaverucha
2006Using distributed genetic programming to evolve classifiers for a brain computer interface.
Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken Sharman
2006Using sampling methods to improve binding site predictions.
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2006Variants of Unsupervised Kernel Regression: General cost functions.
Stefan Klanke, Helge J. Ritter
2006Visual Data Mining and Machine Learning.
Fabrice Rossi
2006Visual nonlinear discriminant analysis for classifier design.
Tomoharu Iwata, Kazumi Saito, Naonori Ueda
2006Visual object classification by sparse convolutional neural networks.
Alexander Gepperth
2006Visualizing gene interaction graphs with local multidimensional scaling.
Jarkko Venna, Samuel Kaski
2006Visualizing the trustworthiness of a projection.
Michaël Aupetit
2006Weighted differential topographic function: a refinement of topographic function.
Lili Zhang, Erzsébet Merényi