Abstract is missing.
- Synchronizing chaotic neuromodulesFrank Pasemann. 1-6 [doi]
- Mean-field equations reveal synchronization in a 2-populations neural network modelEmmanuel Daucé, Olivier Moynot, Olivier Pinaud, Manuel Samuelides, Bernard Doyon. 7-12 [doi]
- A hierarchical self-organizing feature map for analysis of not well separable clusters of different feature densityStefan Schünemann, Bernd Michaelis. 13-18 [doi]
- Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithmEric de Bodt, Marie Cottrell, Michel Verleysen. 19-26 [doi]
- Learning in structured domainsMarco Gori. 27-32 [doi]
- Approximation capabilities of folding networksBarbara Hammer. 33-38 [doi]
- Tree-recursive computation of gradient information for structuresAndreas Küchler. 39-44 [doi]
- Learning search-control heuristics for automated deduction systems with folding architecture networksChristoph Goller. 45-50 [doi]
- A topological transformation for hidden recursive modelsarchitecture networksFabrizio Costa, Paolo Frasconi, Giovanni Soda. 51-56 [doi]
- Neural learning of approximate simple regular languagesMikel L. Forcada, Antonio M. Corbí-Bellot, Marco Gori, Marco Maggini. 57-62 [doi]
- A benchmark for testing adaptive systems on structured dataMarkus Hagenbuchner, Ah Chung Tsoi. 63-68 [doi]
- The application of neural networks to the paper-making industryPeter J. Edwards, Alan F. Murray, Georgios Papadopoulos, A. Robin Wallace, John Barnard. 69-74 [doi]
- Marble slabs quality classification system using texture recognition and neural networks methodologyJuan Martínez-Cabeza-de-Vaca-Alajarín, Luis-Manuel Tomás-Balibrea. 75-80 [doi]
- Visual-based posture recognition using hybrid neural networksAndrea Corradini, Hans-Joachim Böhme, Horst-Michael Gross. 81-86 [doi]
- Model clustering by deterministic annealingBart Bakker, Tom Heskes. 87-92 [doi]
- The challenges in spectral image analysis: an introduction, and review of ANN approachesErzsébet Merényi. 93-98 [doi]
- A simple associative neural network for producing spatially homogenous spectral abundance interpretations of hyperspectral imageryNeil Pendock. 99-104 [doi]
- Estimating the intrinsic dimensionality of hyperspectral imagesJörg Bruske, Erzsébet Merényi. 105-110 [doi]
- Benefits and limits of the self-organizing map and its variants in the area of satellite remote sensoring processingThomas Villmann. 111-116 [doi]
- Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral dataDonald MacDonald, Stephen McGlinchey, John Kawala, Colin Fyfe. 117-122 [doi]
- AdaBoost and neural networksTerry Windeatt, Reza Ghaderi. 123-128 [doi]
- Modeling face recognition learning in early infant developmentFrancesca Acerra, Yves Burnod, Scania de Schonen. 129-134 [doi]
- The NeuralBAG algorithm: optimizing generalization performance in bagged neural networksJohn Carney, Padraig Cunningham. 135-140 [doi]
- Neuro-wavelet parametric characterization of hardness profilesValentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi. 141-146 [doi]
- Heterogeneity enhanced order in a chaotic neural networkShin Mizutani, Katsunori Shimohara. 147-152 [doi]
- Tackling the stability/plasticity dilemma with double loop dynamic systemsChristophe Lecerf. 153-158 [doi]
- Regularization in oculomotor adaptationJohn A. Bullinaria, Patricia M. Riddell, Simon K. Rushton. 159-164 [doi]
- Recurrent V1-V2 interaction for early visual information processingHeiko Neumann, Wolfgang Sepp. 165-170 [doi]
- Neural field description of state-dependent receptive field changes in the visual cortexKatrin Suder, Florentin Wörgötter, Thomas Wennekers. 171-176 [doi]
- Integrating the evidence framework and the support vector machineJames Tin-Yau Kwok. 177-182 [doi]
- Support vector classifier with asymetric kernel functionKoji Tsuda. 183-188 [doi]
- A multiplicative updating algorithm for training support vector machineNello Cristianini, Colin Campbell, John Shawe-Taylor. 189-194 [doi]
- Face identification using support vector machinesRodrigo Fernández, Emmanuel Viennet. 195-200 [doi]
- Statistical mechanics of support vector machineArnaud Buhot, Mirta B. Gordon. 201-206 [doi]
- An efficient formulation of sparsity controlled support vector regressionPierre M. L. Drezet, Robert F. Harrison. 207-212 [doi]
- Generalized support vector machinesDavide Mattera, Francesco Palmieri, Simon Haykin. 213-218 [doi]
- Support vector machines for multi-class pattern recognitionJason Weston, Chris Watkins. 219-224 [doi]
- From regression to classification in support vector machinesMassimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou. 225-230 [doi]
- From first order logic to Nd: a data driven reformulationMichèle Sebag. 231-236 [doi]
- Dimensionality reduction by local processingChristian Wöhler, Ulrich Kressel, Jürgen Schürmann, Joachim K. Anlauf. 237-244 [doi]
- A kernel based adalineThilo-Thomas Frieß, Robert F. Harrison. 245-250 [doi]
- Data domain description using support vectorsDavid M. J. Tax, Robert P. W. Duin. 251-256 [doi]
- Support vector machines vs multi-layer perceptrons in particle identificationN. Barabino, M. Pallavicini, A. Petrolini, Massimiliano Pontil, Alessandro Verri. 257-262 [doi]
- Specialization with cortical models: An application to causality learningHervé Frezza-Buet, Frédéric Alexandre. 263-268 [doi]
- Generalisation capabilities of a distributed neural classifierArnaud Ribert, Abdel Ennaji, Yves Lecourtier. 269-274 [doi]
- A comparison of three PCA neural techniquesSimone Fiori, Francesco Piazza. 275-280 [doi]
- Neural networks which identify composite factorsDonald MacDonald, Darryl Charles, Colin Fyfe. 281-288 [doi]
- Supervised Art-II: a new neural network architecture, with quicker learning algorithm, for learning and classifying multivaled input patternsKamal R. Al-Rawi, Consuelo Gonzalo, Agueda Arquero. 289-294 [doi]
- Feature binding and relaxation labeling with the competitive layer modelHeiko Wersing, Helge Ritter. 295-300 [doi]
- Segmentation-free detection of overtaking vehicles with a two-stage time-delay neural network classifierChristian Wöhler, Jürgen Schürmann, Joachim K. Anlauf. 301-306 [doi]
- An integer recurrent artificial neural network for classifying feature vectorsRoelof K. Brouwer. 307-312 [doi]
- Feature selection for ANNs using genetic algorithms in condition monitoringL. B. Jack, Asoke K. Nandi. 313-318 [doi]
- Trends in Unsupervised LearningColin Fyfe. 319-326 [doi]
- Detection of two Gaussian clustersArnaud Buhot, Mirta B. Gordon. 327-332 [doi]
- Independent component analysis for mixture densitiesFrancesco Palmieri, Alessandra Budillon, Davide Mattera. 333-338 [doi]
- Extraction of intrinsic dimension using CCA - Application to blind sources separationNicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen. 339-344 [doi]
- Noise to extract independent causesDarryl Charles, Colin Fyfe. 345-350 [doi]
- Information retrieval systems using an associative conceptual spaceJan van den Berg, Martijn J. Schuemie. 351-356 [doi]
- Taking inspiration from the Hippocampus can help solving robotics problemsArnaud Revel, Philippe Gaussier, Jean-Paul Banquet. 357-362 [doi]
- Orthogonal least square algorithm applied to the initialization of multi-layer perceptronsValentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi. 363-369 [doi]
- Maximisation of stability ranges for recurrent neural networks subject to on-line adaptationJochen J. Steil, Helge Ritter. 370-374 [doi]
- Encoding of sequential translators in discrete-time recurrent neural netsRamón P. Ñeco, Mikel L. Forcada, Rafael C. Carrasco, M. Ángeles Valdés-Muñoz. 375-380 [doi]
- On the invertibility of the RBF model in a predictive control strategyAntoine Fache, Olivier Dubois, Alain Billat. 381-386 [doi]
- Nonlinear factorization in sparsely encoded Hopfield-like neural networksAnton M. Sirota, Alexander A. Frolov, Dusan Húsek. 387-392 [doi]
- Storage capacity and dynamics of nonmonotonic networksBruno Crespi, Ignazio Lazzizzera. 393-398 [doi]
- A general approach to construct RBF net-based classifierFabien Belloir, Antoine Fache, Alain Billat. 399-404 [doi]
- Hidden Markov gating for prediction of change points in switching dynamical systemsStefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Steven Lemm, Klaus-Robert Müller. 405-410 [doi]
- Critical and non-critical avalanche behavior in networks of integrate-and-fire neuronsChristian W. Eurich, Thorsten Conradi, Helmut Schwegler. 411-416 [doi]
- Fast analog computation in networks of spiking neurons using unreliable synapsesThomas Natschläger, Wolfgang Maass. 417-422 [doi]
- Learning a temporal codePhilipp Häfliger. 423-428 [doi]
- VC dimension bounds for networks of spiking neuronsMichael Schmitt. 429-434 [doi]
- What does a neuron talk about?Stefan D. Wilke, Christian W. Eurich. 435-440 [doi]
- Development of a French speech recognizer using a hybrid HMM/MLP systemJean-Marc Boite, Christophe Ris. 441-446 [doi]
- A hybrid system for fraud detection in mobile communicationsYves Moreau, Ellen Lerouge, Herman Verrelst, Joos Vandewalle, Christof Störmann, Peter Burge. 447-454 [doi]
- Hybrid HMM/MLP models for times series predictionJoseph Rynkiewicz. 455-462 [doi]