Wednesday 26 April 2000  
8H30  Registration 
9H00  Opening 
Session 1: Data and signal analysis  
9H10  A generative model for sparse
discrete binary data with nonuniform categorical priors M. Girolami, Univ. Paisley (Scotland) 
9H30  Using Growing hierarchical selforganizing
maps for document classification M. Dittenbach, D. Merkl, A. Rauber, Vienna Univ. Tech. (Austria) 
9H50  A robust nonlinear projection
method J. Lee, A. Lendasse, N. Donckers, M. Verleysen, UCL LouvainlaNeuve (Belgium) 
10H10  Parametric approach to blind deconvolution
of nonlinear channels J. Sole i Casals^{1}, A. Taleb^{2}, C. Jutten^{2}, ^{1}Univ. Vic (Spain), ^{2}I.N.P. Grenoble (France) 
10H30  Coffee break 
Special session 2: Support
Vector Machines Organised by: Colin Campbell, Bristol Univ. (UK), Johan Suykens, K.U.Leuven (Belgium) 

10H50  Algorithmic approaches to training
Support Vector Machines: a survey C. Campbell, Bristol Univ. (UK) 
11H20  Sparse least squares Support Vector
Machine classifiers J.A.K. Suykens, L. Lukas, J. Vandewalle, K.U.Leuven (Belgium) 
11H40  Support Vector Committee Machines
D. Martinez, LORIACNRS, G. Millerioux, CRANESSTIN (France) 
12H00  Robust Bayes Point Machines
R. Herbich, T. Graepel, C. Campbell, TU Berlin (Germany) 
12H20  Lunch 
Session 3: Model selection and evaluation  
14H00  A statistical model selection
strategy applied to neural networks J. Pizarro, E. Guerrero, P. L. Galindo, Univ. Cadiz (Spain) 
14H20  Bootstrap for neural model selection
R. Kallel^{1}, M. Cottrell^{1}, V. Vigneron^{1,2}, ^{1}Univ. Paris I, ^{2}Univ. Evry (France) 
14H40  A new information criterion for
the selection of subspace models M. Sugiyama, H. Ogawa, Tokyo Inst. Tech. (Japan) 
15H00  Confidence estimaton methods for
neural networks : a practical comparison G. Papadopoulos, P.J. Edwards, A.F. Murray, Univ. Edinburgh (UK) 
15H20  Coffee break 
Special session 4: Artificial
neural networks and robotics Organised by: Richard Duro, Jose Santos Reyes, Univ. da Coruna (Spain) 

15H40  Using higher order and nodes to
improve sensing capabilities of mobile robots R.J. Duro, J. Santos, J.A. Becerra, F. Bellas, J.L. Crespo, Univ. Coruna (Spain) 
16H10  Competitive neural networks for
robust computation of the optical flow E. Fernandez, I. Echave, M. Grana, UPVEHU (Spain) 
16H30  Learning VORlike stabilization
reflexes in robots F. Panerai, G. Metta, G. Sandini, Col. de France (France), Univ. Genova (Italy) 
16H50  Learning of perceptual
states in the design of an adaptive wallfollowing behaviour M. FernandezDelgado, R. Iglesias, S. Barro, Univ. Santiago de Compostela (Spain) 
Poster session: spotlights  
17H10  Fuzzy entropyconstrained competitive
learning algorithm W.J. Hwang, C. Ou, S.C. Liao, C.F. Chine, Chung Yuan Christian. Univ. (Taiwan) 
17H12  Specification, estimation and
evaluation of single hiddenlayer feedforward autoregressive artificial
neural network models G. Rech, Stockholm Sch. Economics (Sweden) 
17H14  A neural network for undercomplete independent component
analysis L. Wei, J. C. Rajapakse, Nanyang Tech. Univ. (Singapore) 
17H16  Distributed clustering and local
regression for knowledge discovery in multiple spatial databases A. Lazarevic, D. Pokrajac, Z. Obradovic, Washington State Univ. (USA) 
17H18  Nonlinear, statistical dataanalysis
for the optimal construction of neuralnetwork inputs with the concept of
a mutual Information F. Heister , G. Schock, DaimlerChrysler Res. Tech. (Germany) 
17H20  Influence of weightdecay training
in input selection methods M. FernandezRedondo, C. HernandezEspinosa, Univ. Jaume I (Spain) 
17H22  Committee formation for reliable
and accurate neural prediction in industry P.J. Edwards, A.F. Murray, Edinburgh Univ. (UK) 
17H24  Poster preview 
Thursday 27 April 2000  
Session 5: Nonlinear dynamics and control  
9H00  Toward encryption with neural
network analogy T. Ohira, Sony Comp. Sci. Lab. (Japan) 
9H20  Iterative learning neural network
control for nonlinear system trajectory tracking P. Jiang, R. Unbehauen, Univ. ErlangenNürnberg (Germany) 
9H40  A comparative design of a MIMO
neural adaptive rate damping for a nonlinear helicopter model P. A. Gili, M. Battipede, Polit. Torino (Italy) 
10H00  Coffee break 
Special session 6: Neural networks
in medicine Organised by: Thomas Villmann, Univ. Leipzig (Germany) 

10H20  Neural networks approaches in
medicine  a review of actual developments T. Villmann, Univ. Leipzig (Germany) 
10H40  A neural network architecture
for automatic segmentation of fluorescence micrographs T. Nattkemper^{1}, H. Wersing^{1}, W. Schubert^{2}, H. Ritter^{1}, ^{1}Univ. Bielefeld, ^{2}Univ. Magdeburg (Germany) 
11H00  Boundary based movement correction
of functional MR data using a genetic algorithm G. Bao, J. C. Rajapakse, Nanyang Tech. Univ. (Singapore) 
11H20  A neural network approach to adaptive
pattern analysis  the deformable feature map A. Wismüller^{1}, F. Vietze^{1}, D.R. Dersch^{2}, K. Hahn^{1}, H. Ritter^{3}, ^{1}LudwigMaximiliansUniv. (Germany), ^{2}Integral Energy Corp. (Australia), ^{3}Univ. Bielefeld (Germany) 
Poster session: spotlights  
11H40  Automatic detection of clustered
microcalcifications in digital mammograms using an SVM classifier A. Bazzani^{1,2}, A. Bevilacqua^{1,2}, D. Bollini^{1,2}, R. Brancaccio^{1,2}, R. Carnpanini^{1,2}, N. Lanconelli^{2}, A. Riccardi^{1,2}, D. Romani^{1,2}, G. Zamboni^{1}, ^{1}Univ. Bologna, ^{2}Nat. Ins. Nuclear Physics (Italy) 
11H42  A neurofuzzy approach as medical
diagnostic interface R. Brause, F. Friedrich, J.W.GoetheUniv. (Germany) 
11H44  Regularization in oculomotor control
J. A. Bullinaria, P. M. Riddell, Univ. Reading (UK) 
11H46  Limitations of hybrid systems
B. Hammer, Univ. Osnabrück (Germany) 
11H48  Discriminative learning for neural
decision feedback equalizers E.D. Di Claudio, R. Parisi, G. Orlandi, Univ. Rome "La Sapienza" (Italy) 
11H50  Neurocontrol of a binary distillation
column M.A. Torres^{1}, M.E. Pardo^{1}, J.M. Pupo^{1}, L. Boquete^{2}, R. Barea^{2}, L.M. Bergasa^{2}, ^{1}Univ. Oriente (Cuba), ^{2}Alcala Univ. (Spain) 
11H52  E.O.G. guidance of a weelchair
using spiking neural networks R. Barea, L. Boquete, M. Mazo, E. Lopez, L.M. Bergasa, Univ. Alcala (Spain) 
11H54  Poster preview 
12H30  Lunch 
Special session 7: Selforganizing
maps for data analysis Organised by: Jouko Lampinen, Kimmo Kaski, Helsinki Univ. of Tech. (Finland) 

14H00  SelfOrganizing Maps in data analysis
 notes on overfitting and overinterpretation J. Lampinen, T. Kostiainen, Helsinki Univ. Tech. (Finland) 
14H20  Bootstrapping SelfOrganizing
Maps to assess the statistical significance of local proximity E. de Bodt^{1}, M. Cottrell^{2}, ^{1}U.C.L. LouvainlaNeuve (Belgium) & Univ. Lille 2, ^{2}Univ. Paris I (France) 
14H40  Evaluating SOMs using order metrics
A. P. Azcarraga, Nat. Univ. Singapore 
15H00  SelfOrganisation in the SOM with
a finite number of possible inputs J.A. Flanagan, Helsinki Univ. Tech. (Finland) 
15H20  Topological map for binary data
M. Lebbah^{1}, F. Badran^{2}, S. Thiria^{1,2}, ^{1}Cons. Nat. Arts Métiers, ^{2}Univ. Paris 6 (France) 
15H40  Analytical comparison of the Temporal
Kohonen Map and the Recurrent Self Organizing Map M. Varsta, J. Heikkonen, J. Lampinen, Helsinki Univ. Tech. (Finland) 
16H00  Coffee break 
Session 8: Recurrent networks  
16H20  Local inputoutput stability of
recurrent networks with timevarying weights J.J. Steil, Univ. Bielefeld (Germany) 
16H40  An optimization neural network
model with timedependent and lossy dynamics Z. Heszberger, J. Biro, E. Halasz, Tech. Univ. Budapest (Hungary) 
17H00  An algorithm for the addition
of timedelayed connections to recurrent neural networks R. Boné, M. Crucianu, J.P. Asselin de Beauville, Ec. Ing. Informatique pour l'Industrie (France) 
Friday 28 April 2000  
Special session 9: Time series
prediction Organised by: Johan Suykens, Joos Vandewalle, K.U.Leuven (Belgium) 

09H00  The K.U.Leuven competition data:
a challenge for advanced neural network techniques J.A.K. Suykens, J. Vandewalle, K.U.Leuven (Belgium) 
09H10  Local model optimization for time
series prediction J. McNames, Portland State Univ. (USA) 
09H30  A multisteap ahead prediction
method based on local dynamic properties G. Bontempi, M. Birattari, ULB Brussels (Belgium) 
09H50  Nonlinear prediction of spatiotemporal
time series U. Parlitz, C. Merkwirth, Univ. Göttingen (Germany) 
10H10  A Bayesian approach to combined
neural networks forecasting M.D. Out, W.A. Kosters, Univ. Leiden (The Netherlands) 
10H30  Coffee break 
10H50  Nonlinear principal component
regression: predicting within the limits of predictability R. Bakker^{1}, J.C. Schouten^{2}, M.O. Coppens^{1} ,F. Takens^{3}, C.M. van den Bleek^{1}, ^{1}Delft Univ. Tech., ^{2}Eindhoven Univ., ^{3}Univ. Groningen (The Netherlands) 
11H10  Time series forecasting using
CCA and Kohonen maps  application to electricity consumption A. Lendasse, J. Lee, V. Wertz, M. Verleysen, UCL LouvainlaNeuve (Belgium) 
11H30  Financial predictions based on
bootstrapneural networks A. Lombardi^{1}, A. Vicino^{2}, ^{1}Linköping Univ., ^{2}Univ. Siena (Italy) 
11H50  On the use of the wavelet decomposition
for time series prediction S. Soltani, Univ. Tech. Compiègne (France) 
Poster session: spotlights  
12H10  Chaotic time series prediction
using the Kohonen algorithm L. Monzon Benitez^{1,2}, A. Ferreira^{1}, D. I. Pedreira^{2}, ^{1}Univ. Sao Paulo (Brazil), ^{2}Univ. Medica Carlos J. Finlay (Cuba) 
12H12  Curve forecast with the SOM algorithm:
using a tool to follow the time on a Kohonen map P. Rousset, Univ. Paris I (France) 
12H14  Learning principal components
in a contextual space T. Voegtlin, Inst. Sci. Cognitives (France) 
12H16  Training activation function in
parametric classification V. Colla^{1}, L.M. Reyneri^{2}, M. Sgarbi^{1}, ^{1}Sc. Sup. Sant'Anna, ^{2}Polit. Torino (Italy) 
12H18  Quantum iterative algorithm for
image reconstruction problems J.I. Inoue, Tokyo Inst. Tech. (Japan) 
12H20  Quaternionic spinor MLP S. Buchholz, G. Sommer, Univ. Kiel (Germany) 
12H22  Simplified neural architectures
for symmetric boolean functions B. Girau, McGill Univ. (USA) & INRIA (France) 
12H24  Poster preview 
13H00  Lunch 
Special session
10: Artificial neural networks for energy management systems Organised by: Gonzalo Joya, Univ. de Malaga (Spain) 

14H15  Connectionist solutions for energy
management systems G. Joya, Univ. Malaga (Spain) 
14H55  Stability assessment of electric
power systems using growing neural gas and selforganizing maps C. Rehtanz, C. Leder, Univ. Dortmund (Germany) 
15H15  DMS feeder load forecasting dealing
with MV network reconfiguration J.N. Fidalgo, J.A. Pecas Lopes, INESC (Portugal) 
15H35  Appication of MLP and stochastic
simulations for electricity load forecasting in Russia E. Savelieva^{1}, A. Kravetski^{1}, S. Chernov^{1}, V. Demyanov^{1}, V. Timonin^{1}, R. Arutyunyan^{1}, L. Bolshov^{1}, M. Kanevski^{1,2}, ^{1}Nuclear Safety Inst. (Russia), ^{2}IDIAP (Switzerland) 
15H55  Coffee break 
Session 11: Learning in biological and artificial systems  
16H10  SpikeProp: backpropagation for
networks of spiking neurons S. M. Bohte^{1}, J. N. Kok^{2}, H. La Poutré^{1}, ^{1}CWI, ^{2}Leiden Univ. (the Netherlands) 
16H30  Nonsynaptically connected neural
nets G. L. Aiello^{1,2}, P. BachyRita^{1}, ^{1}Univ. WisconsinMadison (USA), ^{2}Univ. Palermo (Italy) 
16H50  Establishing retinotopy by lateralinhibition
type homogeneous neural fields W. A. Fellenz, J. G. Taylor, King's Coll. (UK) 