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Conferences in DBLP

(esann)
2000 (conf/esann/2000)

  1. Mark Girolami
    A generative model for sparse discrete binary data with non-uniform categorical priors. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:1-6 [Conf]
  2. Michael Dittenbach, Dieter Merkl, Andreas Rauber
    Using Growing hierarchical self-organizing maps for document classification. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:7-12 [Conf]
  3. John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen
    A robust non-linear projection method. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:13-20 [Conf]
  4. Jordi Solé i Casals, Anisse Taleb, Christian Jutten
    Parametric approach to blind deconvolution of nonlinear channels. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:21-26 [Conf]
  5. Colin Campbell
    Algorithmic approaches to training Support Vector Machines: a survey. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:27-36 [Conf]
  6. Johan A. K. Suykens, Lukas Lukas, Joos Vandewalle
    Sparse least squares Support Vector Machine classifiers. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:37-42 [Conf]
  7. Dominique Martinez, Gilles Millerioux
    Support Vector Committee Machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:43-48 [Conf]
  8. Ralf Herbrich, Thore Graepel, Colin Campbell
    Robust Bayes Point Machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:49-54 [Conf]
  9. Joaquín Pizarro Junquera, Elisa Guerrero, Pedro L. Galindo
    A statistical model selection strategy applied to neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:55-60 [Conf]
  10. Riadh Kallel, Marie Cottrell, Vincent Vigneron
    Bootstrap for neural model selection. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:61-68 [Conf]
  11. Masashi Sugiyama, Hidemitsu Ogawa
    A new information criterion for the selection of subspace models. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:69-74 [Conf]
  12. Georgios Papadopoulos, Peter J. Edwards, Alan F. Murray
    Confidence estimation methods for neural networks : a practical comparison. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:75-80 [Conf]
  13. Richard J. Duro, José Santos Reyes, José Antonio Becerra, Francisco Bellas, José Luis Crespo
    Using higher order synapses and nodes to improve sensing capabilities of mobile robots. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:81-88 [Conf]
  14. Elsa Fernandez, Imanol Echave, Manuel Graña
    Competitive neural networks for robust computation of the optical flow. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:89-94 [Conf]
  15. Francesco Panerai, Giorgio Metta, Giulio Sandini
    Learning VOR-like stabilization reflexes in robots. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:95-102 [Conf]
  16. Roberto Iglesias, Manuel Fernández Delgado, Senén Barro
    Learning of perceptual states in the design of an adaptive wall-following behavior. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:103-108 [Conf]
  17. Wen-Jyi Hwang, Chien-Min Ou, Shi-Chiang Liao, Ching-Fung Chine
    Fuzzy entropy-constrained competitive learning algorithm. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:109-116 [Conf]
  18. Gianluigi Rech
    Specification, estimation and evaluation of single hidden-layer feedforward autoregressive artificial neural network models. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:117-122 [Conf]
  19. Lu Wei, Jagath C. Rajapakse
    A neural network for undercomplete independent component analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:123-128 [Conf]
  20. Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:129-134 [Conf]
  21. Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
    Influence of weight-decay training in input selection methods. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:135-140 [Conf]
  22. Peter J. Edwards, Alan F. Murray
    Committee formation for reliable and accurate neural prediction in industry. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:141-146 [Conf]
  23. Toru Ohira
    Toward encryption with neural network analogy. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:147-152 [Conf]
  24. Ping Jiang, Rolf Unbehauen
    Iterative learning neural network control for nonlinear system trajectory tracking. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:153-158 [Conf]
  25. Piero A. Gili, Manuela Battipede
    A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:159-164 [Conf]
  26. Thomas Villmann
    Neural networks approaches in medicine - a review of actual developments. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:165-176 [Conf]
  27. Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter
    A neural network architecture for automatic segmentation of fluorescence micrographs. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:177-182 [Conf]
  28. Guojun Bao, Jagath C. Rajapakse
    Boundary based movement correction of functional MR data using a genetic algorithm. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:183-188 [Conf]
  29. Axel Wismüller, Frank Vietze, Dominik R. Dersch, Klaus Hahn, Helge Ritter
    A neural network approach to adaptive pattern analysis - the deformable feature map. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:189-194 [Conf]
  30. Armando Bazzani, Alessandro Bevilacqua, Dante Bollini, Rosa Brancaccio, Renato Campanini, Nico Lanconelli, Alessandro Riccardi, Davide Romani, Gianluca Zamboni
    Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:195-200 [Conf]
  31. Rüdiger W. Brause, F. Friedrich
    A neuro-fuzzy approach as medical diagnostic interface. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:201-206 [Conf]
  32. John A. Bullinaria, Patricia M. Riddell
    Regularization in oculomotor control. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:207-212 [Conf]
  33. Barbara Hammer
    Limitations of hybrid systems. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:213-218 [Conf]
  34. Elio D. Di Claudio, Raffaele Parisi, Gianni Orlandi
    Discriminative learning for neural decision feedback equalizers. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:219-226 [Conf]
  35. M. A. Torres, M. E. Pardo, J. M. Pupo, Luciano Boquete, Rafael Barea, Luis Miguel Bergasa
    Neurocontrol of a binary distillation column. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:227-232 [Conf]
  36. Rafael Barea, Luciano Boquete, Manuel Mazo, Elena López Guillén, Luis Miguel Bergasa
    E.O.G. guidance of a weelchair using spiking neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:233-238 [Conf]
  37. Jouko Lampinen, Timo Kostiainen
    Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:239-244 [Conf]
  38. Eric de Bodt, Marie Cottrell
    Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:245-254 [Conf]
  39. Arnulfo P. Azcarraga
    Evaluating SOMs using order metrics. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:255-260 [Conf]
  40. John A. Flanagan
    Self-Organisation in the SOM with a finite number of possible inputs. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:261-266 [Conf]
  41. Mustapha Lebbah, Fouad Badran, Sylvie Thiria
    Topological map for binary data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:267-272 [Conf]
  42. Markus Varsta, Jukka Heikkonen, Jouko Lampinen
    Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:273-280 [Conf]
  43. Jochen J. Steil
    Local input-output stability of recurrent networks with time-varying weights. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:281-286 [Conf]
  44. Zalán Heszberger, József Bíró, Edith Halász
    An optimization neural network model with time-dependent and lossy dynamics. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:287-292 [Conf]
  45. Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville
    An algorithm for the addition of time-delayed connections to recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:293-298 [Conf]
  46. Johan A. K. Suykens, Joos Vandewalle
    The K.U.Leuven competition data: a challenge for advanced neural network techniques. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:299-304 [Conf]
  47. James McNames
    Local model optimization for time series prediction. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:305-310 [Conf]
  48. Gianluca Bontempi, Mauro Birattari
    A multi-steap ahead prediction method based on local dynamic properties. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:311-316 [Conf]
  49. Ulrich Parlitz, Christian Merkwirth
    Nonlinear prediction of spatio-temporal time series. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:317-322 [Conf]
  50. Maurits D. Out, Walter A. Kosters
    A Bayesian approach to combined neural networks forecasting. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:323-328 [Conf]
  51. Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
    Time series forecasting using CCA and Kohonen maps - application to electricity consumption. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:329-334 [Conf]
  52. Anna Lombardi, Antonio Vicino
    Financial predictions based on bootstrap-neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:335-340 [Conf]
  53. Skander Soltani
    On the use of the wavelet decomposition for time series prediction. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:341-346 [Conf]
  54. Luis Monzón Benítez, Ademar Ferreira, Diana I. Pedreira Iparraguirre
    Chaotic time series prediction using the Kohonen algorithm. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:347-352 [Conf]
  55. Patrick Rousset
    Curve forecast with the SOM algorithm: using a tool to follow the time on a Kohonen map. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:353-358 [Conf]
  56. Thomas Voegtlin
    Learning principal components in a contextual space. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:359-364 [Conf]
  57. Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi
    Training activation function in parametric classification. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:365-370 [Conf]
  58. Jun-ichi Inoue
    Quantum iterative algorithm for image reconstruction problems. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:371-376 [Conf]
  59. Sven Buchholz, Gerald Sommer
    Quaternionic spinor MLP. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:377-382 [Conf]
  60. Bernard Girau
    Simplified neural architectures for symmetric boolean functions. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:383-388 [Conf]
  61. Gonzalo Joya Caparrós
    Connectionist solutions for energy management systems. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:389-400 [Conf]
  62. Christian Rehtanz, Carsten Leder
    Stability assessment of electric power systems using growing neural gas and self-organizing maps. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:401-406 [Conf]
  63. José Nuno Fidalgo, João Abel Peças Lopes
    Load forecasting dealing with medium voltage network reconfiguration. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:407-412 [Conf]
  64. Elena Savelieva, Alexey Kravetski, Sergey Chernov 0002, Vasiliy V. Demyanov, Vadim Timonin, Rafael V. Arutyunyan, Leonid Aleksandrovich Bolshov, Mikhail F. Kanevski
    Application of MLP and stochastic simulations for electricity load forecasting in Russia. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:413-418 [Conf]
  65. Sander M. Bohte, Joost N. Kok, Johannes A. La Poutré
    SpikeProp: backpropagation for networks of spiking neurons. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:419-424 [Conf]
  66. Gaetano L. Aiello, Paul Bach-y-Rita
    Nonsynaptically connected neural nets. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:425-430 [Conf]
  67. Winfried A. Fellenz, John G. Taylor
    Establishing retinotopy by lateral-inhibition type homogeneous neural fields. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:431-436 [Conf]
  68. Frank Heister, Gregor Schock
    Nonlinear, statistical data-analysis for the optimal construction of neural-network inputs with the concept of a mutual information. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:439-444 [Conf]
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