Abstract is missing.
- A generative model for sparse discrete binary data with non-uniform categorical priorsMark Girolami. 1-6 [doi]
- Using Growing hierarchical self-organizing maps for document classificationMichael Dittenbach, Dieter Merkl, Andreas Rauber. 7-12 [doi]
- A robust non-linear projection methodJohn Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen. 13-20 [doi]
- Parametric approach to blind deconvolution of nonlinear channelsJordi Solé i Casals, Anisse Taleb, Christian Jutten. 21-26 [doi]
- Algorithmic approaches to training Support Vector Machines: a surveyColin Campbell. 27-36 [doi]
- Sparse least squares Support Vector Machine classifiersJohan A. K. Suykens, Lukas Lukas, Joos Vandewalle. 37-42 [doi]
- Support Vector Committee MachinesDominique Martinez, Gilles Millerioux. 43-48 [doi]
- Robust Bayes Point MachinesRalf Herbrich, Thore Graepel, Colin Campbell. 49-54 [doi]
- A statistical model selection strategy applied to neural networksJoaquín Pizarro Junquera, Elisa Guerrero Vázquez, Pedro L. Galindo. 55-60 [doi]
- Bootstrap for neural model selectionRiadh Kallel, Marie Cottrell, Vincent Vigneron. 61-68 [doi]
- A new information criterion for the selection of subspace modelsMasashi Sugiyama, Hidemitsu Ogawa. 69-74 [doi]
- Confidence estimation methods for neural networks : a practical comparisonGeorgios Papadopoulos, Peter J. Edwards, Alan F. Murray. 75-80 [doi]
- Using higher order synapses and nodes to improve sensing capabilities of mobile robotsRichard J. Duro, José Santos Reyes, José Antonio Becerra, Francisco Bellas, José Luis Crespo. 81-88 [doi]
- Competitive neural networks for robust computation of the optical flowElsa Fernandez, Imanol Echave, Manuel Graña. 89-94 [doi]
- Learning VOR-like stabilization reflexes in robotsFrancesco Panerai, Giorgio Metta, Giulio Sandini. 95-102 [doi]
- Learning of perceptual states in the design of an adaptive wall-following behaviorRoberto Iglesias, Manuel Fernández Delgado, Senén Barro. 103-108 [doi]
- Fuzzy entropy-constrained competitive learning algorithmWen-Jyi Hwang, Chien-Min Ou, Shi-Chiang Liao, Ching-Fung Chine. 109-116 [doi]
- Specification, estimation and evaluation of single hidden-layer feedforward autoregressive artificial neural network modelsGianluigi Rech. 117-122 [doi]
- A neural network for undercomplete independent component analysisLu Wei, Jagath C. Rajapakse. 123-128 [doi]
- Distributed clustering and local regression for knowledge discovery in multiple spatial databasesAleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic. 129-134 [doi]
- Influence of weight-decay training in input selection methodsMercedes Fernández-Redondo, Carlos Hernández-Espinosa. 135-140 [doi]
- Committee formation for reliable and accurate neural prediction in industryPeter J. Edwards, Alan F. Murray. 141-146 [doi]
- Toward encryption with neural network analogyToru Ohira. 147-152 [doi]
- Iterative learning neural network control for nonlinear system trajectory trackingPing Jiang, Rolf Unbehauen. 153-158 [doi]
- A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter modelPiero A. Gili, Manuela Battipede. 159-164 [doi]
- Neural networks approaches in medicine - a review of actual developmentsThomas Villmann. 165-176 [doi]
- A neural network architecture for automatic segmentation of fluorescence micrographsTim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter. 177-182 [doi]
- Boundary based movement correction of functional MR data using a genetic algorithmGuojun Bao, Jagath C. Rajapakse. 183-188 [doi]
- A neural network approach to adaptive pattern analysis - the deformable feature mapAxel Wismüller, Frank Vietze, Dominik R. Dersch, Klaus Hahn, Helge Ritter. 189-194 [doi]
- Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifierArmando Bazzani, Alessandro Bevilacqua, Dante Bollini, Rosa Brancaccio, Renato Campanini, Nico Lanconelli, Alessandro Riccardi, Davide Romani, Gianluca Zamboni. 195-200 [doi]
- A neuro-fuzzy approach as medical diagnostic interfaceRüdiger W. Brause, F. Friedrich. 201-206 [doi]
- Regularization in oculomotor controlJohn A. Bullinaria, Patricia M. Riddell. 207-212 [doi]
- Limitations of hybrid systemsBarbara Hammer. 213-218 [doi]
- Discriminative learning for neural decision feedback equalizersElio D. Di Claudio, Raffaele Parisi, Gianni Orlandi. 219-226 [doi]
- Neurocontrol of a binary distillation columnM. A. Torres, M. E. Pardo, J. M. Pupo, Luciano Boquete, Rafael Barea, Luis Miguel Bergasa. 227-232 [doi]
- E.O.G. guidance of a weelchair using spiking neural networksRafael Barea, Luciano Boquete, Manuel Mazo, Elena López Guillén, Luis Miguel Bergasa. 233-238 [doi]
- Self-Organizing Maps in data analysis - notes on overfitting and overinterpretationJouko Lampinen, Timo Kostiainen. 239-244 [doi]
- Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximityEric de Bodt, Marie Cottrell. 245-254 [doi]
- Evaluating SOMs using order metricsArnulfo P. Azcarraga. 255-260 [doi]
- Self-Organisation in the SOM with a finite number of possible inputsJohn A. Flanagan. 261-266 [doi]
- Topological map for binary dataMustapha Lebbah, Fouad Badran, Sylvie Thiria. 267-272 [doi]
- Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing MapMarkus Varsta, Jukka Heikkonen, Jouko Lampinen. 273-280 [doi]
- Local input-output stability of recurrent networks with time-varying weightsJochen J. Steil. 281-286 [doi]
- An optimization neural network model with time-dependent and lossy dynamicsZalán Heszberger, József Bíró, Edith Halász. 287-292 [doi]
- An algorithm for the addition of time-delayed connections to recurrent neural networksRomuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville. 293-298 [doi]
- The K.U.Leuven competition data: a challenge for advanced neural network techniquesJohan A. K. Suykens, Joos Vandewalle. 299-304 [doi]
- Local model optimization for time series predictionJames McNames. 305-310 [doi]
- A multi-steap ahead prediction method based on local dynamic propertiesGianluca Bontempi, Mauro Birattari. 311-316 [doi]
- Nonlinear prediction of spatio-temporal time seriesUlrich Parlitz, Christian Merkwirth. 317-322 [doi]
- A Bayesian approach to combined neural networks forecastingMaurits D. Out, Walter A. Kosters. 323-328 [doi]
- Time series forecasting using CCA and Kohonen maps - application to electricity consumptionAmaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen. 329-334 [doi]
- Financial predictions based on bootstrap-neural networksAnna Lombardi, Antonio Vicino. 335-340 [doi]
- On the use of the wavelet decomposition for time series predictionSkander Soltani. 341-346 [doi]
- Chaotic time series prediction using the Kohonen algorithmLuis Monzón Benítez, Ademar Ferreira, Diana I. Pedreira Iparraguirre. 347-352 [doi]
- Curve forecast with the SOM algorithm: using a tool to follow the time on a Kohonen mapPatrick Rousset. 353-358 [doi]
- Learning principal components in a contextual spaceThomas Voegtlin. 359-364 [doi]
- Training activation function in parametric classificationValentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi. 365-370 [doi]
- Quantum iterative algorithm for image reconstruction problemsJun-ichi Inoue. 371-376 [doi]
- Quaternionic spinor MLPSven Buchholz, Gerald Sommer. 377-382 [doi]
- Simplified neural architectures for symmetric boolean functionsBernard Girau. 383-388 [doi]
- Connectionist solutions for energy management systemsGonzalo Joya Caparrós. 389-400 [doi]
- Stability assessment of electric power systems using growing neural gas and self-organizing mapsChristian Rehtanz, Carsten Leder. 401-406 [doi]
- Load forecasting dealing with medium voltage network reconfigurationJosé Nuno Fidalgo, João Abel Peças Lopes. 407-412 [doi]
- Application of MLP and stochastic simulations for electricity load forecasting in RussiaElena Savelieva, Alexey Kravetski, Sergey Chernov 0002, Vasiliy V. Demyanov, Vadim Timonin, Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Mikhail F. Kanevski. 413-418 [doi]
- SpikeProp: backpropagation for networks of spiking neuronsSander M. Bohte, Joost N. Kok, Johannes A. La Poutré. 419-424 [doi]
- Nonsynaptically connected neural netsGaetano Liborio Aiello, Paul Bach-y-Rita. 425-430 [doi]
- Establishing retinotopy by lateral-inhibition type homogeneous neural fieldsWinfried A. Fellenz, John G. Taylor. 431-436 [doi]
- Nonlinear, statistical data-analysis for the optimal construction of neural-network inputs with the concept of a mutual informationFrank Heister, Gregor Schock. 439-444 [doi]