Artificial neural networks -- ICANN 2002. 12th international conference, Madrid, Spain, August 28--30, 2002. Proceedings (Q1861197)

The articles of this volume will be reviewed individually. The preceding conference has been announced (see Zbl 0972.68679). Indexed articles: \textit{Deco, Gustavo; Rolls, Edmund}, A neurodynamical theory of visual attention: Comparisons with fMRI- and single-neuron data, 3-8 [Zbl 1013.68909] \textit{Molina-Vilaplana, Javier; Batlle, Jorge Feliu; Coronado, Juan López}, A neural model of spatio temporal coordination in prehension, 9-14 [Zbl 1013.68635] \textit{Thiel, Andreas; Eurich, Christian W.; Schwegler, Helmut}, Stabilized dynamics in physiological and neural systems despite strongly delayed feedback, 15-20 [Zbl 1013.68878] \textit{Einhäuser, Wolfgang; Kayser, Christoph; Körding, Konrad P.; König, Peter}, Learning multiple feature representations from natural image sequences, 21-26 [Zbl 1013.68773] \textit{Aguirre, Carlos; Huerta, Ramón; Corbacho, Fernando; Pascual, Pedro}, Analysis of biologically inspired small-world networks, 27-32 [Zbl 1013.68670] \textit{Hurri, Jarmo; Hyvärinen, Aapo}, Receptive fields similar to simple cells maximize temporal coherence in natural video, 33-38 [Zbl 1013.68961] \textit{Marinaro, Maria; Scarpetta, Silvia}, Noise induces spontaneous synchronous aperiodic activity in EI neural networks, 39-44 [Zbl 1013.68804] \textit{Graham, Bruce}, Multiple forms of activity-dependent plasticity enhance information transfer at a dynamic synapse, 45-50 [Zbl 1013.68887] \textit{Caputo, Barbara; Niemann, Heinrich}, Storage capacity of kernel associative memories, 51-56 [Zbl 1013.68854] \textit{Lücke, Jörg; von der Malsburg, Christoph; Würtz, Rolf P.}, Macrocolumns as decision units, 57-62 [Zbl 1013.68781] \textit{Wennekers, Thomas}, Nonlinear analysis of simple cell tuning in visual cortex, 63-68 [Zbl 1013.68805] \textit{Rowcliffe, Phill; Feng, Jianfeng; Buxton, Hilary}, Clustering within integrate-and-fire neurons for image segmentation, 69-74 [Zbl 1013.68692] \textit{de Oliveira, Rogério; Monteiro, Luiz Henrique Alves}, Symmetry detection using global-locally coupled maps, 75-80 [Zbl 1013.68857] \textit{Berkes, Pietro; Wiskott, Laurenz}, Applying slow feature analysis to image sequences yields a rich repertoire of complex cell properties, 81-86 [Zbl 1013.68929] \textit{Strösslin, Thomas; Krebser, Christophe; Arleo, Angelo; Gerstner, Wulfram}, Combining multimodal sensory input for spatial learning, 87-92 [Zbl 1013.68694] \textit{Kupper, Rüdiger; Eckhorn, Reinhard}, A neural network model generating invariance for visual distance, 93-98 [Zbl 1013.68637] \textit{Rybak, Ilya A.; Ivashko, Dmitry G.; Prilutsky, Boris I.; Lewis, M. Anthony; Chapin, John K.}, Modeling neural control of locomotion: Integration of reflex circuits with CPG, 99-104 [Zbl 1013.68792] \textit{Nevado, Angel; Young, Malcolm P.; Panzeri, Stefano}, Comparing the information encoded by different brain areas with functional imaging techniques, 105-110 [Zbl 1013.68935] \textit{Mattia, Maurizio; Del Giudice, Paolo}, Mean-field population dynamics of spiking neurons with random synaptic delays, 111-116 [Zbl 1013.68786] \textit{Mtetwa, Nhamo; Smith, Leslie S.; Hussain, Amir}, Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons, 117-122 [Zbl 1013.68920] \textit{Auer, Peter; Burgsteiner, Harald; Maass, Wolfgang}, Reducing communication for distributed learning in neural networks, 123-128 [Zbl 1013.68826] \textit{Dominguez, David R. C.; Korutcheva, E.; Theumann, W. K.; Erichsen, R. jun.}, Flow diagrams of the quadratic neural network, 129-134 [Zbl 1013.68734] \textit{Mongillo, Gianluigi; Amit, Daniel J.}, Dynamics of a plastic cortical network, 135-140 [Zbl 1013.68717] \textit{Giugliano, Michele; La Camera, Giancarlo; Rauch, Alexander; Lüscher, Hans-Rudolf; Fusi, Stefano}, Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron, 141-146 [Zbl 1013.68898] \textit{De Meyer, Kris; Bishop, J. Mark; Nasuto, Slawomir J.}, Small-world effects in lattice stochastic diffusion search, 147-152 [Zbl 1013.68848] \textit{Iske, Burkhard; Löffler, Axel; Rückert, Ulrich}, A direction sensitive network based on a biophysical neurone model, 153-159 [Zbl 1013.68630] \textit{Latorre, Roberto; Rodríguez, Francisco B.; Varona, Pablo}, Characterization of triphasic rhythms in central pattern generators. I: Interspike interval analysis, 160-166 [Zbl 1013.68900] \textit{Rodríguez, Francisco B.; Latorre, Roberto; Varona, Pablo}, Characterization of triphasic rhythms in central pattern generators. II: Burst information analysis, 167-173 [Zbl 1013.68912] \textit{Ferrández, J. M.; Bongard, M.; de Quirós, F. García; Bolea, J. A.; Fernández, E.}, Neural coding analysis in retinal ganglion cells using information theory, 174-179 [Zbl 1013.68798] \textit{La Camera, Giancarlo; Rauch, Alexander; Senn, Walter; Lüscher, Hans-R.; Fusi, Stefano}, Firing rate adaptation without losing sensitivity to input fluctuations, 180-185 [Zbl 1013.68733] \textit{Sterratt, David C.; van Ooyen, Arjen}, Does morphology influence temporal plasticity?, 186-191 [Zbl 1013.68714] \textit{Johansson, Christopher; Sandberg, Anders; Lansner, Anders}, Attractor neural networks with hypercolumns, 192-197 [Zbl 1013.68676] \textit{Sánchez, Eduardo; Barro, S.; Canedo, A.}, Edge detection and motion discrimination in the cuneate nucleus, 198-203 [Zbl 1013.68719] \textit{Usseglio Viretta, Alessandro; Fusi, Stefano; Liu, Shih-Chii}, Encoding the temporal statistics of Markovian sequences of stimuli in recurrent neuronal networks, 204-209 [Zbl 1013.68931] \textit{Charles, Darryl; Koetsier, Jos; MacDonald, Donald; Fyfe, Colin}, Multi-stream exploratory projection pursuit for the formation of complex cells similar to visual cortical neurons, 210-215 [Zbl 1013.68917] \textit{García-Córdova, Francisco; Molina-Vilaplana, Javier; López-Coronado, Juan}, A corticospinal network for control of voluntary movements of a physiologically based experimental platform, 216-222 [Zbl 1013.68892] \textit{Moreno, Rubén; Parga, Néstor}, Firing rate for a generic integrate-and-fire neuron with exponentially correlated input, 223-228 [Zbl 1013.68896] \textit{Otterpohl, Jens R.; Pawelzik, K.}, Iterative population decoding based on prior beliefs, 229-234 [Zbl 1013.68762] \textit{La Camera, Giancarlo; Fusi, Stefano; Senn, Walter; Rauch, Alexander; Lüscher, Hans-R.}, When NMDA receptor conductances increase inter-spike interval variability, 235-240 [Zbl 1013.68877] \textit{Fusi, Stefano}, Spike-driven synaptic plasticity for learning correlated patterns of asynchronous activity, 241-247 [Zbl 1013.68949] \textit{Sánchez-Montañés, Manuel; Lago-Fernández, Luis F.; Castellanos, Nazareth P.; Merchán-Pérez, Ángel; Arellano, Jon I.; DeFelipe, Javier}, A model of human cortical microcircuits for the study of the development of epilepsy, 248-253 [Zbl 1013.68906] \textit{Maass, Wolfgang}, On the computational power of neural microcircuit models: Pointers to the literature, 254-256 [Zbl 1013.68958] \textit{Gelenbe, Erol; Lent, Ricardo; Xu, Zhiguang}, Networking with cognitive packets, 259-264 [Zbl 1013.68797] \textit{Wallace, J. G.; Bluff, K.}, Episodic memory: A connectionist interpretation, 265-270 [Zbl 1013.68723] \textit{Frezza-Buet, Hervé}, Action scheme scheduling with a neural architecture: A prefrontal cortex approach, 271-276 [Zbl 1013.68914] \textit{Stoianov, Ivilin; Zorzi, Marco; Becker, Suzanna; Umilta, Carlo}, Associative arithmetic with Boltzmann machines: The role of number representations, 277-283 [Zbl 1013.68937] \textit{Eck, Douglas; Schmidhuber, Jürgen}, Learning the long-term structure of the blues, 284-289 [Zbl 1013.68774] \textit{Bua, Antonella; Gori, Marco; Santini, Fabrizio}, Recursive neural networks applied to discourse representation theory, 290-295 [Zbl 1013.68825] \textit{Garfield, Sheila; Wermter, Stefan}, Recurrent neural learning for helpdesk call routing, 296-301 [Zbl 1013.68824] \textit{Korczak, Jerzy; Blindauer, Emmanuel}, An approach to encode multilayer perceptrons, 302-307 [Zbl 1013.68662] \textit{Bishop, J. Mark; Nasuto, Slawomir J.; De Meyer, Kris}, Dynamic knowledge representation in connectionist systems, 308-313 [Zbl 1013.68715] \textit{Gutiérrez, Germán; Galván, Inés M.; Molina, José M.; Sanchis, Araceli}, Generative capacities of cellular automata codification for evolution of NN codification, 314-319 [Zbl 1013.68910] \textit{Buldain, J. David}, Entropic measures with radial basis units, 323-328 [Zbl 1013.68722] \textit{Sonnenburg, Sören; Rätsch, Gunnar; Jagota, Arun; Müller, Klaus-Robert}, New methods for splice site recognition, 329-336 [Zbl 1013.68803] \textit{Ito, Yoshifusa}, A weak condition on linear independence of unscaled shifts of a function and finite mappings by neural networks, 337-343 [Zbl 1013.68923] \textit{Azhar, Ali Syed Saad; Al-Duwaish, Hussain N.}, Identification of Wiener model using radial basis functions neural networks, 344-350 [Zbl 1013.68747] \textit{Welling, Max; Hinton, Geoffrey E.}, A new learning algorithm for mean field Boltzmann machines, 351-357 [Zbl 1013.68639] \textit{Chen, Hsin; Murray, Alan}, A continuous restricted Boltzmann machine with a hardware-amenable learning algorithm, 358-363 [Zbl 1013.68946] \textit{Herrero-Jaraba, J. Elías; Orrite-Uruñuela, Carlos; Buldain, David; Roy-Yarza, Armando}, Human recognition by gait analysis using neural networks, 364-369 [Zbl 1013.68746] \textit{Hammer, Barbara; Strickert, Marc; Villmann, Thomas}, Learning vector quantization for multimodal data, 370-376 [Zbl 1013.68776] \textit{Galicki, Mirosław; Leistritz, Lutz; Witte, Herbert}, Learning the dynamic neural networks with the improvement of generalization capabilities, 377-382 [Zbl 1013.68893] \textit{Bakker, Bart; Heskes, Tom}, Model clustering for neural network ensembles, 383-388 [Zbl 1013.68791] \textit{Fernández-Villacañas Martín, José Luis; Sierra Sánchez, Mónica}, Does crossover probability depend on fitness and Hamming differences in genetic algorithms?, 389-394 [Zbl 1013.68889] \textit{Besada-Juez, Jesús Manuel; Sanz-Bobi, Miguel A.}, Extraction of fuzzy rules using sensibility analysis in a neural network, 395-400 [Zbl 1013.68730] \textit{Albrecht, Andreas A.; Vinterbo, Staal A.; Wong, C. K.; Ohno-Machado, Lucila}, A simulated annealing and resampling method for training perceptrons to classify gene-expression data, 401-407 [Zbl 1013.68879] \textit{Alaiz-Rodríguez, Rocío; Cid-Sueiro, Jesús}, Neural minimax classifiers, 408-413 [Zbl 1013.68799] \textit{Lauer, Martin}, Sampling parameters to estimate a mixture distribution with unknown size, 414-419 [Zbl 1013.68836] \textit{Verikas, Antanas; Lipnickas, Arunas; Malmqvist, Kerstin}, Selecting neural networks for making a committee decision, 420-425 [Zbl 1013.68842] \textit{Fleury, Patrice; Murray, Alan F.; Reekie, Martin}, High-accuracy mixed-signal VLSI for weight modification in contrastive divergence learning, 426-431 [Zbl 1013.68901] \textit{Weng, Sebastian; Steil, Jochen J.}, Data driven generation of interactions for feature binding and relaxation labeling, 432-437 [Zbl 1013.68933] \textit{Bote-Lorenzo, Miguel L.; Dimitriadis, Yannis A.; Gómez-Sánchez, Eduardo}, A hybrid two-stage fuzzy ARTMAP and LVQ neuro-fuzzy system for on-line handwriting recognition, 438-443 [Zbl 1013.68934] \textit{Ferrari-Trecate, Giancarlo; Muselli, Marco}, A new learning method for piecewise linear regression, 444-449 [Zbl 1013.68640] \textit{Graepel, Thore; Schraudolph, Nicol N.}, Stable adaptive momentum for rapid online learning in nonlinear systems, 450-455 [Zbl 1013.68852] \textit{Erdogmus, Deniz; Principe, Jose C.; Vielva, Luis; Luengo, David}, Potential energy and particle interaction approach for learning in adaptive systems, 456-461 [Zbl 1013.68904] \textit{Preciado, Víctor M.}, Piecewise-linear approximation of any smooth output function on the cellular neural network, 462-467 [Zbl 1013.68944] \textit{Anguita, Davide; Gagliolo, Matteo}, MDL based model selection for relevance vector regression, 468-473 [Zbl 1013.68785] \textit{Köppen, Mario}, On the training of a Kolmogorov network, 474-479 [Zbl 1013.68811] \textit{Kwak, Nojun; Choi, Chong-Ho}, A new method of feature extraction and its stability, 480-485 [Zbl 1013.68641] \textit{Benabdeslem, Khalid; Bennani, Younes; Janvier, Eric}, Visualization and analysis of web navigation data, 486-491 [Zbl 1013.68875] \textit{Oba, Shigeyuki; Sato, Masa-aki; Takemasa, Ichiro; Monden, Morito; Matsubara, Ken-ichi; Ishii, Shin}, Missing value estimation using mixture of PCAs, 492-497 [Zbl 1013.68788] \textit{Svensson, Jakob; von Hellermann, Manfred; König, Ralf}, High precision measurement of fuel density profiles in nuclear fusion plasmas, 498-503 [Zbl 1013.68745] \textit{Grabczewski, Krzysztof; Duch, Wlodzislaw}, Heterogeneous forests of decision trees, 504-509 [Zbl 1013.68741] \textit{Bounkong, Stéphane; Saad, David; Lowe, David}, Independent component analysis for domain independent watermarking, 510-515 [Zbl 1013.68754] \textit{Ragg, Thomas; Padberg, Frank; Schoknecht, Ralf}, Applying machine learning to solve an estimation problem in software inspections, 516-521 [Zbl 1013.68673] \textit{Yoshioka, Taku; Morioka, Ryouko; Kobayashi, Kazuo; Oba, Shigeyuki; Ogawsawara, Naotake; Ishii, Shin}, Clustering of gene expression data by mixture of PCA models, 522-527 [Zbl 1013.68691] \textit{Sugiyama, Masashi; Müller, Klaus-Robert}, Selecting ridge parameters in infinite dimensional hypothesis spaces, 528-534 [Zbl 1013.68843] \textit{Kanamori, Takafumi}, A new sequential algorithm for regression problems by using mixture distribution, 535-540 [Zbl 1013.68642] \textit{López, Damián; Castro, María José}, Neural-based classification of blocks from documents, 541-546 [Zbl 1013.68801] \textit{Salcedo-Sanz, Sancho; Prado-Cumplido, Mario; Pérez-Cruz, Fernando; Bousoño-Calzón, Carlos}, Feature selection via genetic optimization, 547-552 [Zbl 1013.68731] \textit{González, Jesús; Rojas, Ignacio; Pomares, Héctor}, Neural networks, clustering techniques, and function approximation problems, 553-558 [Zbl 1013.68800] \textit{González, Jésus; Rojas, Ignacio; Pomares, Hector; Prieto, Alberto; Goser, K.}, Evolutionary training of neuro-fuzzy patches for function approximation, 559-564 [Zbl 1013.68726] \textit{Martínez, César; Juan, Alfons; Casacuberta, Francisco}, Using recurrent neural networks for automatic chromosome classification, 565-570 [Zbl 1013.68872] \textit{Dimitriadou, Evgenia; Weingessel, Andreas; Hornik, Kurt}, A mixed ensemble approach for the semi-supervised problem, 571-576 [Zbl 1013.68633] \textit{Mateos, Alvaro; Herrero, Javier; Dopazo, Joaquín}, Using perceptrons for supervised classification of DNA microarray samples: Obtaining the optimal level of information and finding differentially expressed genes, 577-582 [Zbl 1013.68936] \textit{Gavin, Gerald; Teytaud, Olivier}, Lower bounds for training and leave-one-out estimates of the generalization error, 583-588 [Zbl 1013.68942] \textit{Salmerón, Moisés; Ortega, Julio; Puntonet, Carlos García; Prieto, Alberto; Rojas, Ignacio}, SSA, SVD, QR-cp, and RBF model reduction, 589-594 [Zbl 1013.68851] \textit{Leisink, Martijn A. R.; Kappen, Hilbert J.; Brunner, Han G.}, Linkage analysis: A Bayesian approach, 595-600 [Zbl 1013.68777] \textit{Sperduti, Alessandro}, On linear separability of sequences and structures, 601-606 [Zbl 1013.68810] \textit{Roth, Volker; Braun, Mikio L.; Lange, Tilman; Buhmann, Joachim M.}, Stability-based model order selection in clustering with applications to gene expression data, 607-612 [Zbl 1013.68941] \textit{Zufiria, Pedro J.; Rivero, Carlos}, EM-based radial basis function training with partial information, 613-618 [Zbl 1013.68721] \textit{Giudici, Matteo; Queirolo, Filippo; Valle, Maurizio}, Stochastic supervised learning algorithms with local and adaptive learning rate for recognising hand-written characters, 619-624 [Zbl 1013.68911] \textit{Sierra, Alejandro; Corbacho, Fernando}, Input and output feature selection, 625-630 [Zbl 1013.68757] \textit{Lago-Fernández, Luis F.; Corbacho, Fernando}, Optimal extraction of hidden causes, 631-636 [Zbl 1013.68812] \textit{Sánchez-Montañés, Manuel A.; Corbacho, Fernando J.}, Towards a new information processing measure for neural computation, 637-642 [Zbl 1013.68865] \textit{Stensmo, Magnus}, A scalable and efficient probabilistic information retrieval and text mining system, 643-648 [Zbl 1013.68954] \textit{MacDonald, Donald; Corchado, Emilio; Fyfe, Colin; Merenyi, Erzsebet}, Maximum and minimum likelihood Hebbian learning for exploratory projection pursuit, 649-654 [Zbl 1013.68922] \textit{Gers, Felix A.; Pérez-Ortiz, Juan Antonio; Eck, Douglas; Schmidhuber, Jürgen}, Learning context sensitive languages with LSTM trained with Kalman filters, 655-660 [Zbl 1013.68769] \textit{Yoshimoto, Junichiro; Ishii, Shin; Sato, Masa-aki}, Hierarchical model selection for NGnet based on variational Bayes inference, 661-666 [Zbl 1013.68743] \textit{Conan-Guez, Brieuc; Rossi, Fabrice}, Multi-layer perceptrons for functional data analysis: A projection based approach, 667-672 [Zbl 1013.68915] \textit{Dorronsoro, José R.; González, Ana}, Natural gradient and multiclass NLDA networks, 673-678 [Zbl 1013.68796] \textit{Cawley, Gavin C.; Talbot, Nicola L. C.}, A greedy training algorithm for sparse least-squares support vector machines, 681-686 [Zbl 1013.68632] \textit{Cherkassky, Vladimir; Ma, Yunqian}, Selection of meta-parameters for support vector regression, 687-693 [Zbl 1013.68844] \textit{Graepel, Thore}, Kernel matrix completion by semidefinite programming, 694-699 [Zbl 1013.68764] \textit{Sato, Masa-aki; Oba, Shigeyuki}, Incremental sparse kernel machine, 700-706 [Zbl 1013.68753] \textit{Rakotomamonjy, Alain; Canu, Stéphane}, Frame kernels for learning, 707-712 [Zbl 1013.68736] \textit{De Brabanter, Jos; Pelckmans, Kristiaan; Suykens, Johan A. K.; Vandewalle, Joos}, Robust cross-validation score function for non-linear function estimation, 713-719 [Zbl 1013.68830] \textit{Hamers, Bart; Suykens, Johan A. K.; De Moor, Bart}, Compactly supported RBF kernels for sparsifying the Gram matrix in LS-SVM regression models, 720-726 [Zbl 1013.68952] \textit{Tsuda, Koji; Kawanabe, Motoaki}, The leave-one-out kernel, 727-732 [Zbl 1013.68861] \textit{Borer, Silvio; Gerstner, Wulfram}, Support vector representation of multi-categorical data, 733-738 [Zbl 1013.68855] \textit{Takahashi, Takashi; Kurita, Takio}, Robust de-noising by kernel PCA, 739-744 [Zbl 1013.68831] \textit{Meinicke, Peter; Twellmann, Thorsten; Ritter, Helge}, Maximum contrast classifiers, 745-750 [Zbl 1013.68784] \textit{Pérez-Cruz, Fernando; Artés-Rodríguez, Antonio}, Puncturing multi-class support vector machines, 751-756 [Zbl 1013.68821] \textit{Pérez-Cruz, Fernando; Camps-Valls, Gustavo; Soria-Olivas, Emilio; Pérez-Ruixo, Juan José; Figueiras-Vidal, Aníbal R.; Artés-Rodríguez, Antonio}, Multi-dimensional function approximation and regression estimation, 757-762 [Zbl 1013.68794] \textit{Moguerza, Javier M.; Muñoz, Alberto; Martín-Merino, Manuel}, Detecting the number of clusters using a support vector machine approach, 763-768 [Zbl 1013.68709] \textit{Siolas, George; d'Alché-Buc, Florence}, Mixtures of probabilistic PCAs and Fisher kernels for word and document modeling, 769-774 [Zbl 1013.68790] \textit{Sato, Masa-aki; Nakamura, Yutaka; Ishii, Shin}, Reinforcement learning for biped locomotion, 777-782 [Zbl 1013.68827] \textit{Hülse, Martin; Pasemann, Frank}, Dynamical neural Schmitt trigger for robot control, 783-788 [Zbl 1013.68716] \textit{McMinn, David; Maxwell, Grant; MacLeod, Christopher}, Evolutionary artificial neural networks for quadruped locomotion, 789-794 [Zbl 1013.68725] \textit{Conradt, Jörg; Simon, Pascal; Pescatore, Michel; Verschure, Paul F. M. J.}, Saliency maps operating on stereo images detect landmarks and their distance, 795-800 [Zbl 1013.68835] \textit{Herzallah, Randa; Lowe, David}, A novel approach to modelling and exploiting uncertainty in stochastic control systems, 801-806 [Zbl 1013.68963] \textit{Haber, Rodolfo E.; Alique, A.; Alique, J. R.}, Tool wear prediction in milling using neural networks, 807-812 [Zbl 1013.68864] \textit{Schoknecht, Ralf; Riedmiller, Martin}, Speeding-up reinforcement learning with multi-step actions, 813-818 [Zbl 1013.68850] \textit{Todorovic, Branimir; Stankovic, Miomir; Moraga, Claudio}, Extended Kalman filter trained recurrent radial basis function network in nonlinear system identification, 819-824 [Zbl 1013.68902] \textit{Hübner, Wolfgang; Mallot, Hanspeter A.}, Integration of metric place relations in a landmark graph, 825-830 [Zbl 1013.68760] \textit{Simon, Steffen; Schwenker, Friedhelm; Kestler, Hans A.; Kraetzschmar, Gerhard; Palm, Günther}, Hierarchical object classification for autonomous mobile robots, 831-836 [Zbl 1013.68744] \textit{Becerra, J. A.; Duro, R. J.; Santos, J.}, Self pruning Gaussian synapse networks for behavior based robots, 837-843 [Zbl 1013.68845] \textit{Benzaquen, Samuel; Chang, Carolina}, Second-order conditioning in mobile robots, 844-849 [Zbl 1013.68840] \textit{Lichtensteiger, Lukas; Pfeifer, Rolf}, An optimal sensor morphology improves adaptability of neural network controllers, 850-855 [Zbl 1013.68668] \textit{de Angulo, Vicente Ruiz; Torras, Carme}, Learning inverse kinematics via cross-point function decomposition, 856-861 [Zbl 1013.68771] \textit{López-Rubio, Ezequiel; Muñoz-Pérez, José; Gómez-Ruiz, José Antonio}, The principal components analysis self-organizing map, 865-870 [Zbl 1013.68862] \textit{Pampalk, Elias; Rauber, Andreas; Merkl, Dieter}, Using smoothed data histograms for cluster visualization in self-organizing maps, 871-876 [Zbl 1013.68874] \textit{Hammer, Barbara; Rechtien, Andreas; Strickert, Marc; Villmann, Thomas}, Rule extraction from self-organizing networks, 877-883 [Zbl 1013.68834] \textit{Hirose, Akira; Nagashima, Tomoyuki}, Predictive self-organizing map for vector quantization of migratory signals, 884-889 [Zbl 1013.68819] \textit{Lebbah, Mustapha; Chabanon, Christian; Badran, Fouad; Thiria, Sylvie}, Categorical topological map, 890-895 [Zbl 1013.68688] \textit{Panchev, Christo; Wermter, Stefan; Chen, Huixin}, Spike-timing dependent competitive learning of integrate-and-fire neurons with active dendrites, 896-901 [Zbl 1013.68895] \textit{Saalbach, Axel; Heidemann, Gunther; Ritter, Helge}, Parametrized SOMs for object recognition and pose estimation, 902-907 [Zbl 1013.68816] \textit{Plebe, Alessio}, An effective traveling salesman problem solver based on self-organizing map, 908-913 [Zbl 1013.68664] \textit{Verbeek, Jakob J.; Vlassis, Nikos; Kröse, Ben}, Coordinating principal component analyzers, 914-919 [Zbl 1013.68704] \textit{Viviani, Roberto}, Lateral interactions in self-organizing maps, 920-926 [Zbl 1013.68767] \textit{Lensu, Anssi; Koikkalainen, Pasi}, Complexity selection of the self-organizing map, 927-932 [Zbl 1013.68698] \textit{Lee, John A.; Verleysen, Michel}, Nonlinear projection with the Isotop method, 933-938 [Zbl 1013.68807] \textit{Claussen, Jens Christian; Schuster, Heinz Georg}, Asymptotic level density of the elastic net self-organizing feature map, 939-944 [Zbl 1013.68675] \textit{Fontenla-Romero, Oscar; Alonso-Betanzos, Amparo; Castillo, Enrique; Principe, Jose C.; Guijarro-Berdiñas, Bertha}, Local modeling using self-organizing maps and single layer neural networks, 945-950 [Zbl 1013.68778] \textit{Vesanto, Juha; Sulkava, Mika}, Distance matrix based clustering of the self-organizing map, 951-956 [Zbl 1013.68711] \textit{Vogiatzis, Dimitrios; Stafylopatis, Andreas}, Mapping the growing neural gas to situation calculus, 957-962 [Zbl 1013.68782] \textit{Chiarantoni, Ernesto; Acciani, Giuseppe; Fornarelli, Girolamo; Vergura, Silvano}, Robust unsupervised competitive neural network by local competitive signals, 963-968 [Zbl 1013.68832] \textit{Panangadan, Anand; Dyer, Michael G.}, Goal sequencing for construction agents in a simulated environment, 969-974 [Zbl 1013.68740] \textit{de A. Barreto, Guilherme; Araújo, Aluizio F. R.}, Nonlinear modeling of dynamic systems with the self-organizing map, 975-980 [Zbl 1013.68806] \textit{Koskela, Markus; Laaksonen, Jorma; Oja, Erkki}, Implementing relevance feedback as convolutions of local neighborhoods on self-organizing maps, 981-986 [Zbl 1013.68945] \textit{Hunter, Andrew; Kennedy, Richard Lee}, A Pareto self-organizing map, 987-992 [Zbl 1013.68644] \textit{Georgakis, Apostolos; Kotropoulos, Costas; Pitas, Ioannis}, A SOM variant based on the Wilcoxon test for document organization and retrieval, 993-998 [Zbl 1013.68647] \textit{Peltonen, Jaakko; Klami, Arto; Kaski, Samuel}, Learning more accurate metrics for self-organizing maps, 999-1004 [Zbl 1013.68772] \textit{Díaz Blanco, Ignacio; Cuadrado Vega, Abel A.; Diez González, Alberto B.}, Correlation visualization of high dimensional data using topographic maps, 1005-1010 [Zbl 1013.68705] \textit{Flexer, Arthur; Gruber, Georg; Dorffner, Georg}, Continuous unsupervised sleep staging based on a single EEG signal, 1013-1018 [Zbl 1013.68701] \textit{Chiu, Kai Chun; Xu, Lei}, Financial APT-based Gaussian TFA learning for adaptive portfolio management, 1019-1024 [Zbl 1013.68732] \textit{Liu, Zhiyong; Xu, Lei}, On convergence of an iterative factor estimate algorithm for the NFA model, 1025-1030 [Zbl 1013.68809] \textit{Foxall, Robert J.; Cawley, Gavin C.; Dorling, Stephen R.; Mandic, Danilo P.}, Error functions for prediction of episodes of poor air quality, 1031-1036 [Zbl 1013.68724] \textit{Sanz-González, José L.; Álvarez-Vaquero, Francisco}, Adaptive importance sampling technique for neural detector training, 1037-1042 [Zbl 1013.68653] \textit{van Lint, Hans; Hoogendoorn, Serge P.; van Zuylen, Henk J.}, State space neural networks for freeway travel time prediction, 1043-1048 [Zbl 1013.68853] \textit{Theis, Fabian J.; Lang, Elmar W.; Westenhuber, Tobias; Puntonet, Carlos G.}, Overcomplete ICA with a geometric algorithm, 1049-1054 [Zbl 1013.68813] \textit{Pérez-Ortiz, Juan A.; Schmidhuber, Jürgen; Gers, Felix A.; Eck, Douglas}, Improving long-term online prediction with decoupled extended Kalman filters, 1055-1060 [Zbl 1013.68752] \textit{Zimmermann, Georg; Grothmann, Ralph; Tietz, Christoph; Neuneier, Ralph}, Market modeling based on cognitive agents, 1061-1067 [Zbl 1013.68783] \textit{Kurimo, Mikko; Lagus, Krista}, An efficiently focusing large vocabulary language model, 1068-1073 [Zbl 1013.68665] \textit{Teranishi, Masaru; Omatu, Sigeru; Kosaka, Toshihisa}, Neuro-classification of bill fatigue levels based on acoustic wavelet components, 1074-1079 [Zbl 1013.68802] \textit{Allende, Héctor; Moraga, Claudio; Salas, Rodrigo}, Robust estimator for the learning process in neural networks applied in time series, 1080-1086 [Zbl 1013.68916] \textit{Blaschke, Tobias; Wiskott, Laurenz}, An improved cumulant based method for independent component analysis, 1087-1093 [Zbl 1013.68667] \textit{Kindermann, Lars; Lewandowski, Achim; Protzel, Peter}, Finding the optimal continuous model for discrete data by neural network interpolation of fractional iteration, 1094-1099 [Zbl 1013.68926] \textit{Rojo-Álvarez, José Luis; García-Alberola, Arcadi; Martínez-Ramón, Manel; Valdés, Mariano; Figueiras-Vidal, Aníbal R.; Artés-Rodríguez, Antonio}, Support vector robust algorithms for non-parametric spectral analysis, 1100-1105 [Zbl 1013.68856] \textit{Rojo-Ávarez, José Luis; Martínez-Ramón, Manel; Figueiras-Vidal, Aníbal R.; de Prado-Cumplido, Mario; Artés-Rodríguez, Antonio}, Support vector method for ARMA system identification: A robust cost interpretation, 1106-1111 [Zbl 1013.68938] \textit{Basalyga, Gleb; Rattray, Magnus}, Dynamics of ICA for high-dimensional data, 1112-1118 [Zbl 1013.68718] \textit{Boscolo, Riccardo; Pan, Hong; Roychowdhury, Vwani P.}, Beyond Comon's identifiability theorem for independent component analysis, 1119-1124 [Zbl 1013.68684] \textit{Hauser, Alexandre; Sottas, Pierre-Edouard; del R. Millán, José}, Temporal processing of brain activity for the recognition of EEG patterns, 1125-1130 [Zbl 1013.68859] \textit{Andreou, Panayiotis Ch.; Charalambous, Chris; Martzoukos, Spiros H.}, Critical assessment of option pricing methods using artificial neural networks, 1131-1136 [Zbl 1013.68706] \textit{Blankertz, Benjamin; Schäfer, Christin; Dornhege, Guido; Curio, Gabriel}, Single trial detection of EEG error potentials: A tool for increasing BCI transmission rates, 1137-1143 [Zbl 1013.68921] \textit{Sottas, Pierre-E.; Gerstner, Wulfram}, Dynamic noise annealing for learning temporal sequences with recurrent neural networks, 1144-1149 [Zbl 1013.68960] \textit{López-Risueño, Gustavo; Grajal, Jesús; Haykin, Simon; Díaz-Oliver, Rosa}, Convolutional neural networks for radar detection, 1150-1155 [Zbl 1013.68703] \textit{Kohlmorgen, Jens; Blankertz, Benjamin}, A simple generative model for single-trial EEG classification, 1156-1161 [Zbl 1013.68646] \textit{Georgiev, Pando; Cichocki, Andrzej}, Robust blind source separation utilizing second and fourth order statistics, 1162-1167 [Zbl 1013.68829] \textit{Choi, Seungjin}, Adaptive differential decorrelation: A natural gradient algorithm, 1168-1173 [Zbl 1013.68652] \textit{Peláez-Moreno, Carmen; Parrado-Hernández, Emilio; Gallardo-Antolín, Ascensión; Zambrano-Miranda, Adrián; Díaz-de-María, Fernando}, An application of SVM to lost packets reconstruction in voice-enabled services, 1174-1179 [Zbl 1013.68660] \textit{Otterpohl, Jens R.}, Baum-Welch learning in discrete hidden Markov models with linear factorial constraints, 1180-1185 [Zbl 1013.68943] \textit{Suárez, Alberto}, Mixtures of autoregressive models for financial risk analysis, 1186-1191 [Zbl 1013.68789] \textit{Barla, Annalisa; Odone, Francesca}, Kernel-based 3D object representation, 1195-1200 [Zbl 1013.68765] \textit{Ghennam, Souheila; Benmahammed, Khier}, Multiresolution support for adaptive image restoration using neural networks, 1201-1206 [Zbl 1013.68795] \textit{Séguier, Renaud; Mercier, David}, Audio-visual speech recognition one pass learning with spiking neurons, 1207-1212 [Zbl 1013.68678] \textit{Turiel, Antonio; Nadal, Jean-P.; Parga, Néstor}, An algorithm for image representation as independent levels of resolution, 1213-1218 [Zbl 1013.68659] \textit{Gastaldo, Paolo; Zunino, Rodolfo; Heynderickx, Ingrid; Vicario, Elena}, Circular back-propagation networks for measuring displayed image quality, 1219-1224 [Zbl 1013.68690] \textit{Wersing, Heiko; Körner, Edgar}, Unsupervised learning of combination features for hierarchical recognition models, 1225-1230 [Zbl 1013.68948] \textit{Aizenberg, Igor; Bregin, Taras; Butakoff, Constantine; Karnaukhov, Victor; Merzlyakov, Nickolay; Milukova, Olga}, Type of blur and blur parameters identification using neural network and its application to image restoration, 1231-1236 [Zbl 1013.68927] \textit{Backer, Gerriet; Mertsching, Bärbel}, Using neural field dynamics in the context of attentional control, 1237-1242 [Zbl 1013.68871] \textit{Teichert, Jens; Malaka, Rainer}, A component association architecture for image understanding, 1243-1248 [Zbl 1013.68628] \textit{Owens, Jonathan; Hunter, Andrew; Fletcher, Eric}, Novelty detection in video surveillance using hierarchical neural networks, 1249-1254 [Zbl 1013.68808] \textit{Stürzl, Wolfgang; Hoffmann, Ulrich; Mallot, Hanspeter A.}, Vergence control and disparity estimation with energy neurons: Theory and implementation, 1255-1260 [Zbl 1013.68905] \textit{Lüdtke, Niklas; Wilson, Richard C.; Hancock, Edwin R.}, Population coding of multiple edge orientation, 1261-1267 [Zbl 1013.68818] \textit{Planta, Cyrill; Conradt, Jörg; Jencik, Adrian; Verschure, Paul}, A neural model of the fly visual system applied to navigational tasks, 1268-1274 [Zbl 1013.68636] \textit{Shimomura, Masao; Satoh, Shunji; Miyake, Shogo; Aso, Hirotomo}, A neural network model for pattern recognition based on hypothesis and verification with moving region of attention, 1275-1280 [Zbl 1013.68919] \textit{Ceguerra, Anna; Koprinska, Irena}, Automatic fingerprint verification using neural networks, 1281-1286 [Zbl 1013.68679] \textit{Li, Shutao; Kwok, James T.; Wang, Yaonan}, Fusing images with multiple focuses using support vector machines, 1287-1292 [Zbl 1013.68737] \textit{Heittmann, Arne; Ramacher, Ulrich; Matolin, Daniel; Schreiter, Jörg; Schüffny, Rene}, An analog VLSI pulsed neural network for image segmentation using adaptive connection weights, 1293-1298 [Zbl 1013.68894] \textit{Foucher, Christophe; Le Guennec, Daniel; Vaucher, Gilles}, Kohonen maps applied to fast image vector quantization, 1299-1304 [Zbl 1013.68766] \textit{Acciani, Giuseppe; Chiarantoni, Ernesto; Girimonte, Daniela; Guaragnella, Cataldo}, Unsupervised-neural network approach for efficient video description, 1305-1311 [Zbl 1013.68867] \textit{Ntalianis, Klimis S.; Doulamis, Nikolaos D.; Doulamis, Anastasios D.; Kollias, Stefanos D.}, Neural networks retraining for unsupervised video object segmentation of videoconference sequences, 1312-1318 [Zbl 1013.68932] \textit{Behnke, Sven}, Learning face localization using hierarchical recurrent networks, 1319-1324 [Zbl 1013.68770] \textit{Fasel, Ian R.; Movellan, Javier R.}, A comparison of face detection algorithms, 1325-1330 [Zbl 1013.68627] \textit{Boni, Andrea}, Adaptive model selection for digital linear classifiers, 1333-1338 [Zbl 1013.68654] \textit{Ruiz de Angulo, Vicente; Torras, Carme}, Sequential learning in feedforward networks: Proactive and retroactive interference minimization, 1339-1344 [Zbl 1013.68930] \textit{Anguita, Davide; Ridella, Sandro; Rivieccio, Fabio; Zunino, Rodolfo}, Automatic hyperparameter tuning for support vector machines, 1345-1350 [Zbl 1013.68680] \textit{Schraudolph, Nicol N.; Graepel, Thore}, Conjugate directions for stochastic gradient descent, 1351-1356 [Zbl 1013.68699] \textit{Tiňo, Peter; Hammer, Barbara}, Architectural bias in recurrent neural networks -- fractal analysis, 1359-1364 [Zbl 1013.68674] \textit{Atencia, Miguel A.; Joya, Gonzalo; Sandoval, Francisco}, Continuous-state Hopfield dynamics based on implicit numerical methods, 1365-1370 [Zbl 1013.68702] \textit{Riaza, Ricardo; Zufiria, Pedro J.}, Time-scaling in recurrent neural learning, 1371-1376 [Zbl 1013.68863]