default search action
ESANN 2004: Bruges, Belgium
- 12th European Symposium on Artificial Neural Networks, ESANN 2004, Bruges, Belgium, April 28-30, 2004, Proceedings. 2004
Learning I
- Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis:
A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm. 1-6 - Rémi Coulom:
High-accuracy value-function approximation with neural networks applied to the acrobot. 7-12 - Robert Haschke, Jochen J. Steil:
Input Space Bifurcation Manifolds of RNNs. 13-18 - Christos Dimitrakakis, Samy Bengio:
Online policy adaptation for ensemble classifiers. 19-24
Theory and applications of neural maps
- Thomas Villmann, Udo Seiffert, Axel Wismüller:
Theory and applications of neural maps. 25-38 - Marc Strickert, Barbara Hammer:
Self-organizing context learning. 39-44 - J. David Buldain Pérez, José Elías Herrero Jaraba:
Visual person tracking with a Supervised Conditioning-SOM. 45-50 - Abha Jain, Erzsébet Merényi:
Forbidden Magnification? I. 51-56 - Erzsébet Merényi, Abha Jain:
Forbidden magnification? II. 57-62 - Catherine Aaron, Yamina Tadjeddine:
Description of the Group Dynamic of Funds' Managers using Kohonen's Map. 63-68
Bayesian learning and Markov processes
- Christopher M. Bishop, Markus Svensén:
Robust Bayesian Mixture Modelling. 69-74 - Cédric Archambeau, Frédéric Vrins, Michel Verleysen:
Flexible and Robust Bayesian Classification by Finite Mixture Models. 75-80 - Wei Chu, Zoubin Ghahramani, David L. Wild:
Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. 81-86 - Bertrand Maillet, Madalina Olteanu, Joseph Rynkiewicz:
Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime. 87-92
Sof-computing techniques for time series forecasting
- Ignacio Rojas Ruiz, Héctor Pomares:
Soft-computing techniques for time series forecasting. 93-102 - Francesco Carlo Morabito, Mario Versaci:
Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach. 103-108 - Kai Xu, Szu Hui Ng, S. L. Ho:
Time Series Analysis for Quality Improvement: a Soft Computing Approach. 109-114 - Teodor Marcu, Birgit Köppen-Seliger:
Dynamic functional-link neural networks genetically evolved applied to system identification. 115-120 - Juan Manuel Górriz, Carlos García Puntonet, Moisés Salmerón, Julio Ortega:
On-line support vector machines and optimization strategies. 121-126 - Luis Javier Herrera, Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, Jesús González, Mohammed Awad:
MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality. 127-132
Learning II
- Gavin C. Cawley, Nicola L. C. Talbot:
Sparse Bayesian kernel logistic regression. 133-138 - Stefan Wiegand, Christian Igel, Uwe Handmann:
Evolutionary Optimization of Neural Networks for Face Detection. 139-144 - Urs Niesen, Beat Pfister:
Speaker verification by means of ANNs. 145-150 - Nigel T. Crook:
A chaotic basis for neural coding. 151-156 - Zhijun Yang, Alan F. Murray:
A biologically plausible neuromorphic system for object recognition and depth analysis. 157-162 - Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller:
Regularizing generalization error estimators: a novel approach to robust model selection. 163-168 - Marcel Jirina:
Dimensionality reduction and classification using the distribution mapping exponent. 169-174 - Ranadhir Ghosh, Moumita Ghosh, John Yearwood:
A Modular Framework for Multi category feature selection in Digital mammography. 175-180 - Kevin A. J. Doherty, Rod Adams, Neil Davey:
Non-Euclidean norms and data normalisation. 181-186 - Bruno Pelletier, Robert Frouin:
On fields of nonlinear regression models. 187-192 - Hajoon Lee, Dongkyung Nam, Cheol Hoon Park:
A sliding mode controller using neural networks for robot manipulator. 193-198 - Silvia Chiappa, Nicolas Donckers, Samy Bengio, Frédéric Vrins:
HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems. 193-204
Indepedent compent analysis and non-linear projection
- Fabian J. Theis, Elmar Wolfgang Lang:
Linearization identification and an application to BSS using a SOM. 205-210 - Frédéric Vrins, Cédric Archambeau, Michel Verleysen:
Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? 211-216 - Fabian J. Theis, Peter Gruber:
Separability of analytic postnonlinear blind source separation with bounded sources. 217-222 - John Aldo Lee, Michel Verleysen:
How to project 'circular' manifolds using geodesic distances? 223-230 - Manuel Martín-Merino, Alberto Muñoz:
Representing hierarchical relationships using a modified Asymmetric SOM Algorithm. 231-238
Industrial applications of neural networks
- Leonardo Reyneri:
Classification and Prediction in Highly Dimensional Spaces - An Application to Tribology. 239-250 - Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño:
Shear strength prediction using dimensional analysis and functional networks. 251-256 - Lia Morra, Silvia Delsanto, Leonardo Reyneri:
Enhanced unsupervised segmentation of multispectral Magnetic Resonance images. 257-262 - Marco Vannucci, Valentina Colla:
Comparison of different classification methods on castabilty data coming from steelmaking practice. 263-268 - Beatrice Lazzerini, Francesco Marcelloni, Giovanni Marola, Simone Galigani:
Neural network-based calibration of positron emission tomograph detector modules. 269-274 - Stefanos Goumas, Michalis E. Zervakis, George A. Rovithakis:
Reduced dimensionality space for post placement quality inspection of components based on neural networks. 275-280
Neural methods for non-standard data
- Barbara Hammer, Brijnesh J. Jain:
Neural methods for non-standard data. 281-292 - Alessio Micheli, Filippo Portera, Alessandro Sperduti:
A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks. 293-298 - Peter Geibel, Brijnesh J. Jain, Fritz Wysotzki:
SVM learning with the SH inner product. 299-304 - Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Golli:
Clustering functional data with the SOM algorithm. 305-312 - Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen:
Functional radial basis function networks. 313-318 - Fabrice Rossi, Brieuc Conan-Guez:
Functional preprocessing for multilayer perceptrons. 319-324 - Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
Recursive networks for processing graphs with labelled edges. 325-330 - Brijnesh J. Jain, Fritz Wysotzki:
The maximum weighted clique problem and Hopfield networks. 331-336
Learning III
- Manuel Rodríguez Álvarez, Fernando Rojas Ruiz, Elmar Wolfgang Lang, Ignacio Rojas Ruiz, Carlos García Puntonet, Moisés Salmerón-Campos:
Lattice ICA for the separation of speech signals. 337-342 - Fabian J. Theis, Pando G. Georgiev, Andrzej Cichocki:
Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform. 343-348 - Youichi Kobuchi, Masataka Tanoue:
SOM algorithms and their stability consideration. 349-354 - Hesham H. Amin, Robert H. Fujii:
Input arrival-time-dependent decoding scheme for a spiking neural network. 355-360 - Alexander Ypma, Tom Heskes:
Novel approximations for inference and learning in nonlinear dynamical systems. 361-366 - Mélanie Falgairolle, Agnès Gorge, Jean Marc Salotti, Marc-Michel Corsini:
Computational model of amygdala network supported by neurobiological data. 367-372 - Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre:
Reducing connectivity by using cortical modular bands. 373-378 - Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, Bernd Michaelis, Thoralf Opitz, Ana D. de Lima, Thomas B. Voigt:
Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony. 379-384 - Andreas Herzog, Vadym Spravedlyvyy, Karsten Kube, Reinhild Schnabel, Eduard Korkotian, Katharina Braun, Bernd Michaelis:
Learning by geometrical shape changes of dendritic spines. 385-390 - Corneliu Lazar, Sorin Carari, Draguna L. Vrabie, Marius Kloetzer:
Neuro-predictive control based self-tuning of PID controllers. 391-395
Hardware systems for neural devices
- Patrice Fleury, Adria Bofill-i-Petit, Alan F. Murray:
Neural Hardware: beyond ones and zeros. 396-404 - Giacomo Indiveri, Elisabetta Chicca, Rodney J. Douglas:
A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses. 405-410 - Jordi Madrenas, Jordi Cosp, Lucas Oscar, Eduard Alarcón, Eva Vidal, Gerard Villar:
BIOSEG: a bioinspired vlsi analog system for image segmentation. 411-416 - Alexandre R. S. Romariz, Kelvin H. Wagner:
Implementation and coupling of dynamic neurons through optoelectronics. 417-422 - Özgür Türel, Jung Hoon Lee, Xiaolong Ma, Konstantin Likharev:
Architectures for Nanoelectronic Neural Networks: New Results. 423-428
Support vector machines
- Shigeo Abe:
Fuzzy LP-SVMs for Multiclass Problems. 429-434 - Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Sparse LS-SVMs using additive regularization with a penalized validation criterion. 435-440 - Te Ming Huang, Vojislav Kecman:
Bias Term b in SVMs Again. 441-448
Neural networks for data mining
- Razvan Andonie, Boris Kovalerchuk:
Neural networks for data mining: constrains and open problems. 449-458 - Mustapha Lebbah, Fouad Badran, Sylvie Thiria:
Visualization and classification with categorical topological map. 459-464 - Michaël Aupetit:
Visualizing distortions in continuous projection techniques. 465-470 - Razvan Andonie, Angel Cataron:
An informational energy LVQ approach for feature ranking. 471-476 - César Ignacio García-Osorio, Jesús Maudes, Colin Fyfe:
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. 477-482 - Jorge Ferreira, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco, Carlos R. Hall Barbosa:
Data Mining Techniques on the Evaluation of Wireless Churn. 483-488 - Marco Vannucci, Valentina Colla:
Meaningful discretization of continuous features for association rules mining by means of a SOM. 489-494 - Razvan Andonie, Lucian Mircea Sasu:
Convergence properties of a fuzzy ARTMAP network. 495-500 - Alfred Ultsch, David Kämpf:
Knowledge discovery in DNA microarray data of cancer patients with emergent self organizing maps. 501-506 - David Opolon, Fabien Moutarde:
Fast semi-automatic segmentation algorithm for Self-Organizing Maps. 507-512 - Emanuele Bottino, Sergio Martinoia, Maurizio Valle:
Integrated low noise signal conditioning interface for neuroengineering applications. 513-518
Learning IV
- Frauke Friedrichs, Christian Igel:
Evolutionary tuning of multiple SVM parameters. 519-524 - Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen:
Fast bootstrap for least-square support vector machines. 525-530 - Jochen J. Steil:
Neural dynamics for task-oriented grouping of communicating agents. 531-536 - Frédéric Davesne:
Learning from Reward as an emergent property of Physics-like interactions between neurons in an artificial neural network. 537-542 - Eric L. Sauser, Aude Billard:
Three dimensional frames of reference transformations using gain modulated populations of neurons. 543-548 - Caspar von Wrede, Pavel Laskov:
Using classification to determine the number of finger strokes on a multi-touch tactile device. 549-554 - Friedhelm Schwenker:
Classification of Bioacoustic Time Series by Training a Decision Fusion mapping. 555-560 - Abdul Rauf Baig:
Spatial-Temporal artificial neurons applied to online cursive handwritten recognition. 561-566 - Iulian B. Ciocoiu:
Face Recognition Using Recurrent High-Order Associative Memories. 567-572
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.
last updated on 2024-11-20 21:04 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: