Abstract is missing.
- A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron DataGustavo Deco, Edmund T. Rolls. 3-8 [doi]
- A Neural Model of Spatio Temporal Coordination in PrehensionJavier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado. 9-14 [doi]
- Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed FeedbackAndreas Thiel, Christian W. Eurich, Helmut Schwegler. 15-20 [doi]
- Learning Multiple Feature Representations from Natural Image SequencesWolfgang Einhäuser, Christoph Kayser, Konrad P. Körding, Peter König. 21-26 [doi]
- Analysis of Biologically Inspired Small-World NetworksCarlos Aguirre, Ramón Huerta, Fernando J. Corbacho, Pedro Pascual. 27-32 [doi]
- Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural VideoJarmo Hurri, Aapo Hyvärinen. 33-38 [doi]
- Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural NetworksMaria Marinaro, Silvia Scarpetta. 39-44 [doi]
- Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic SynapseBruce P. Graham. 45-50 [doi]
- Storage Capacity of Kernel Associative MemoriesBarbara Caputo, Heinrich Niemann. 51-56 [doi]
- Macrocolumns as Decision UnitsJörg Lücke, Christoph von der Malsburg, Rolf P. Würtz. 57-62 [doi]
- Nonlinear Analysis of Simple Cell Tuning in Visual CortexThomas Wennekers. 63-68 [doi]
- Clustering within Integrate-and-Fire Neurons for Image SegmentationPhill Rowcliffe, Jianfeng Feng, Hilary Buxton. 69-74 [doi]
- Symmetry Detection Using Global-Locally Coupled MapsRogério de Oliveira, Luiz Henrique Alves Monteiro. 75-80 [doi]
- Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell PropertiesPietro Berkes, Laurenz Wiskott. 81-86 [doi]
- Combining Multimodal Sensory Input for Spatial LearningThomas Strösslin, Christophe Krebser, Angelo Arleo, Wulfram Gerstner. 87-92 [doi]
- A Neural Network Model Generating Invariance for Visual DistanceRüdiger Kupper, Reinhard Eckhorn. 93-98 [doi]
- Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPGIlya A. Rybak, Dmitry G. Ivashko, Boris I. Prilutsky, M. Anthony Lewis, John K. Chapin. 99-104 [doi]
- Comparing the Information Encoded by Different Brain Areas with Functional Imaging TechniquesAngel Nevado, Malcolm P. Young, Stefano Panzeri. 105-110 [doi]
- Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic DelaysMaurizio Mattia, Paolo Del Giudice. 111-116 [doi]
- Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire NeuronsNhamo Mtetwa, Leslie S. Smith, Amir Hussain. 117-122 [doi]
- Reducing Communication for Distributed Learning in Neural NetworksPeter Auer, Harald Burgsteiner, Wolfgang Maass. 123-128 [doi]
- Flow Diagrams of the Quadratic Neural NetworkDavid R. C. Dominguez, Elka Korutcheva, W. K. Theumann, Rubem Erichsen Jr.. 129-134 [doi]
- Dynamics of a Plastic Cortical NetworkGianluigi Mongillo, Daniel J. Amit. 135-140 [doi]
- Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model NeuronMichele Giugliano, Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Stefano Fusi. 141-146 [doi]
- Small-World Effects in Lattice Stochastic Diffusion SearchKris De Meyer, J. Mark Bishop, Slawomir J. Nasuto. 147-152 [doi]
- A Direction Sensitive Network Based on a Biophysical Neurone ModelBurkhard Iske, Axel Löffler, Ulrich Rückert. 153-159 [doi]
- Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval AnalysisRoberto Latorre, Francisco de Borja Rodríguez Ortiz, Pablo Varona. 160-166 [doi]
- Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information AnalysisFrancisco de Borja Rodríguez Ortiz, Roberto Latorre, Pablo Varona. 167-173 [doi]
- Neural Coding Analysis in Retinal Ganglion Cells Using Information TheoryJosé Manuel Ferrández de Vicente, Markus Bongard, Francisco García de Quirós, Jose Angel Bolea, Eduardo Fernández. 174-179 [doi]
- Firing Rate Adaptation without Losing Sensitivity to Input FluctuationsGiancarlo La Camera, Alexander Rauch, Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi. 180-185 [doi]
- Does Morphology Influence Temporal Plasticity?David C. Sterratt, Arjen Van Ooyen. 186-191 [doi]
- Attractor Neural Networks with HypercolumnsChristopher Johansson, Anders Sandberg, Anders Lansner. 192-197 [doi]
- Edge Detection and Motion Discrimination in the Cuneate NucleusEduardo Sánchez Vila, Senén Barro, Antonio Canedo. 198-203 [doi]
- Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal NetworksAlessandro Usseglio Viretta, Stefano Fusi, Shih-Chii Liu. 204-209 [doi]
- Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical NeuronsDarryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe. 210-215 [doi]
- A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental PlatformFrancisco García-Córdova, Javier Molina-Vilaplana, Juan López Coronado. 216-222 [doi]
- Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated InputRubén Moreno, Néstor Parga. 223-228 [doi]
- Iterative Population Decoding Based on Prior BeliefsJens R. Otterpohl, Klaus Pawelzik. 229-234 [doi]
- When NMDA Receptor Conductances Increase Inter-spike Interval VariabilityGiancarlo La Camera, Stefano Fusi, Walter Senn, Alexander Rauch, Hans-Rudolf Lüscher. 235-240 [doi]
- Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous ActivityStefano Fusi. 241-247 [doi]
- A Model of Human Cortical Microcircuits for the Study of the Development of EpilepsyManuel A. Sánchez-Montañés, Luis F. Lago-Fernández, Nazareth P. Castellanos, Ángel Merchán-Pérez, Jon I. Arellano, Javier DeFelipe. 248-253 [doi]
- On the Computational Power of Neural Microcircuit Models: Pointers to the LiteratureWolfgang Maass. 254-258 [doi]
- Networking with Cognitive PacketsErol Gelenbe, Ricardo Lent, Zhiguang Xu. 259-264 [doi]
- Episodic Memory: A Connectionist InterpretationJ. G. (Iain) Wallace, Kevin Bluff. 265-270 [doi]
- Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex ApproachHervé Frezza-Buet. 271-276 [doi]
- Associative Arithmetic with Boltzmann Machines: The Role of Number RepresentationsIvilin Stoianov, Marco Zorzi, Suzanna Becker, Carlo Umilta. 277-283 [doi]
- Learning the Long-Term Structure of the BluesDouglas Eck, Jürgen Schmidhuber. 284-289 [doi]
- Recursive Neural Networks Applied to Discourse Representation TheoryAntonella Bua, Marco Gori, Fabrizio Santini. 290-295 [doi]
- Recurrent Neural Learning for Helpdesk Call RoutingSheila Garfield, Stefan Wermter. 296-301 [doi]
- An Approach to Encode Multilayer PerceptronsJerzy J. Korczak, Emmanuel Blindauer. 302-307 [doi]
- Dynamic Knowledge Representation in Connectionist SystemsJ. Mark Bishop, Slawomir J. Nasuto, Kris De Meyer. 308-313 [doi]
- Generative Capacities of Cellular Automata Codification for Evolution of NN CodificationGermán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchís. 314-322 [doi]
- Entropic Measures with Radial Basis UnitsJ. David Buldain Pérez. 323-328 [doi]
- New Methods for Splice Site RecognitionSören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller. 329-336 [doi]
- A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural NetworksYoshifusa Ito. 337-343 [doi]
- Identification of Wiener Model Using Radial Basis Functions Neural NetworksAli Syed Saad Azhar, Hussain N. Al-Duwaish. 344-350 [doi]
- A New Learning Algorithm for Mean Field Boltzmann MachinesMax Welling, Geoffrey E. Hinton. 351-357 [doi]
- A Continuous Restricted Boltzmann Machine with a Hardware-Amenable Learning AlgorithmHsin Chen, Alan F. Murray. 358-363 [doi]
- Human Recognition by Gait Analysis Using Neural NetworksJosé Elías Herrero Jaraba, Carlos Orrite-Uruñuela, J. David Buldain Pérez, Armando Roy-Yarza. 364-369 [doi]
- Learning Vector Quantization for Multimodal DataBarbara Hammer, Marc Strickert, Thomas Villmann. 370-376 [doi]
- Learning the Dynamic Neural Networks with the Improvement of Generalization CapabilitiesMiroslaw Galicki, Lutz Leistritz, Herbert Witte. 377-382 [doi]
- Model Clustering for Neural Network EnsemblesBart Bakker, Tom Heskes. 383-388 [doi]
- Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms?José Luis Fernández-Villacañas Martín, Mónica Sierra Sánchez. 389-394 [doi]
- Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural NetworkJesús Manuel Besada-Juez, Miguel A. Sanz-Bobi. 395-400 [doi]
- A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression DataAndreas Alexander Albrecht, Staal A. Vinterbo, C. K. Wong, Lucila Ohno-Machado. 401-407 [doi]
- Neural Minimax ClassifiersRocío Alaíz-Rodríguez, Jesús Cid-Sueiro. 408-413 [doi]
- Sampling Parameters to Estimate a Mixture Distribution with Unknown SizeMartin Lauer. 414-419 [doi]
- Selecting Neural Networks for Making a Committee DecisionAntanas Verikas, Arunas Lipnickas, Kerstin Malmqvist. 420-425 [doi]
- High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence LearningPatrice Fleury, Alan F. Murray, H. Martin Reekie. 426-431 [doi]
- Data Driven Generation of Interactions for Feature Binding and Relaxation LabelingSebastian Weng, Jochen J. Steil. 432-437 [doi]
- A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-Fuzzy System for On-Line Handwriting RecognitionMiguel L. Bote-Lorenzo, Yannis A. Dimitriadis, Eduardo Gómez-Sánchez. 438-443 [doi]
- A New Learning Method for Piecewise Linear RegressionGiancarlo Ferrari-Trecate, Marco Muselli. 444-449 [doi]
- Stable Adaptive Momentum for Rapid Online Learning in Nonlinear SystemsThore Graepel, Nicol N. Schraudolph. 450-455 [doi]
- Potential Energy and Particle Interaction Approach for Learning in Adaptive SystemsDeniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo. 456-461 [doi]
- Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural NetworkVictor M. Preciado. 462-467 [doi]
- MDL Based Model Selection for Relevance Vector RegressionDavide Anguita, Matteo Gagliolo. 468-473 [doi]
- On the Training of a Kolmogorov NetworkMario Köppen. 474-479 [doi]
- A New Method of Feature Extraction and Its StabilityNojun Kwak, Chong-Ho Choi. 480-485 [doi]
- Visualization and Analysis of Web Navigation DataKhalid Benabdeslem, Younès Bennani, Eric Janvier. 486-491 [doi]
- Missing Value Estimation Using Mixture of PCAsShigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii. 492-497 [doi]
- High Precision Measurement of Fuel Density Profiles in Nuclear Fusion PlasmasJakob Svensson, Manfred von Hellermann, Ralf König. 498-503 [doi]
- Heterogeneous Forests of Decision TreesKrzysztof Grabczewski, Wlodzislaw Duch. 504-509 [doi]
- Independent Component Analysis for Domain Independent WatermarkingStéphane Bounkong, David Saad, David Lowe. 510-515 [doi]
- Applying Machine Learning to Solve an Estimation Problem in Software InspectionsThomas Ragg, Frank Padberg, Ralf Schoknecht. 516-521 [doi]
- Clustering of Gene Expression Data by Mixture of PCA ModelsTaku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii. 522-527 [doi]
- Selecting Ridge Parameters in Infinite Dimensional Hypothesis SpacesMasashi Sugiyama, Klaus-Robert Müller. 528-534 [doi]
- A New Sequential Algorithm for Regression Problems by Using Mixture DistributionTakafumi Kanamori. 535-540 [doi]
- Neural-Based Classification of Blocks from DocumentsDamián López, María José Castro. 541-546 [doi]
- Feature Selection via Genetic OptimizationSancho Salcedo-Sanz, Mario de Prado-Cumplido, Fernando Pérez-Cruz, Carlos Bousoño-Calzón. 547-552 [doi]
- Neural Networks, Clustering Techniques, and Function Approximation ProblemsJesús González, Ignacio Rojas, Héctor Pomares. 553-558 [doi]
- Evolutionary Training of Neuro-fuzzy Patches for Function ApproximationJesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser. 559-564 [doi]
- Using Recurrent Neural Networks for Automatic Chromosome ClassificationCésar Martínez, Alfons Juan, Francisco Casacuberta. 565-570 [doi]
- A Mixed Ensemble Approach for the Semi-supervised ProblemEvgenia Dimitriadou, Andreas Weingessel, Kurt Hornik. 571-576 [doi]
- Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed GenesÁlvaro Mateos, Javier Herrero, Joaquín Dopazo. 577-582 [doi]
- Lower Bounds for Training and Leave-One-Out Estimates of the Generalization ErrorGérald Gavin, Olivier Teytaud. 583-588 [doi]
- SSA, SVD, QR-cp, and RBF Model ReductionMoisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto, Ignacio Rojas. 589-594 [doi]
- Linkage Analysis: A Bayesian ApproachMartijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner. 595-600 [doi]
- On Linear Separability of Sequences and StructuresAlessandro Sperduti. 601-606 [doi]
- Stability-Based Model Order Selection in Clustering with Applications to Gene Expression DataVolker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann. 607-612 [doi]
- EM-Based Radial Basis Function Training with Partial InformationPedro J. Zufiria, Carlos Rivero. 613-618 [doi]
- Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written CharactersMatteo Giudici, Filippo Queirolo, Maurizio Valle. 619-624 [doi]
- Input and Output Feature SelectionAlejandro Sierra, Fernando J. Corbacho. 625-630 [doi]
- Optimal Extraction of Hidden CausesLuis F. Lago-Fernández, Fernando J. Corbacho. 631-636 [doi]
- Towards a New Information Processing Measure for Neural ComputationManuel A. Sánchez-Montañés, Fernando J. Corbacho. 637-642 [doi]
- A Scalable and Efficient Probabilistic Information Retrieval and Text Mining SystemMagnus Stensmo. 643-648 [doi]
- Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection PursuitDonald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi. 649-654 [doi]
- Learning Context Sensitive Languages with LSTM Trained with Kalman FiltersFelix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber. 655-660 [doi]
- Hierarchical Model Selection for NGnet Based on Variational Bayes InferenceJunichiro Yoshimoto, Shin Ishii, Masa-aki Sato. 661-666 [doi]
- Multi-layer Perceptrons for Functional Data Analysis: A Projection Based ApproachBrieuc Conan-Guez, Fabrice Rossi. 667-672 [doi]
- Natural Gradient and Multiclass NLDA NetworksJosé R. Dorronsoro, Ana M. González. 673-680 [doi]
- A Greedy Training Algorithm for Sparse Least-Squares Support Vector MachinesGavin C. Cawley, Nicola L. C. Talbot. 681-686 [doi]
- Selection of Meta-parameters for Support Vector RegressionVladimir Cherkassky, Yunqian Ma. 687-693 [doi]
- Kernel Matrix Completion by Semidefinite ProgrammingThore Graepel. 694-699 [doi]
- Incremental Sparse Kernel MachineMasa-aki Sato, Shigeyuki Oba. 700-707 [doi]
- Frame Kernels for LearningAlain Rakotomamonjy, Stéphane Canu. 707-712 [doi]
- Robust Cross-Validation Score Function for Non-linear Function EstimationJos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle. 713-719 [doi]
- Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression ModelsBart Hamers, Johan A. K. Suykens, Bart De Moor. 720-726 [doi]
- The Leave-One-Out KernelKoji Tsuda, Motoaki Kawanabe. 727-732 [doi]
- Support Vector Representation of Multi-categorical DataSilvio Borer, Wulfram Gerstner. 733-738 [doi]
- Robust De-noising by Kernel PCATakashi Takahashi, Takio Kurita. 739-744 [doi]
- Maximum Contrast ClassifiersPeter Meinicke, Thorsten Twellmann, Helge Ritter. 745-750 [doi]
- Puncturing Multi-class Support Vector MachinesFernando Pérez-Cruz, Antonio Artés-Rodríguez. 751-756 [doi]
- Multi-dimensional Function Approximation and Regression EstimationFernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez. 757-762 [doi]
- Detecting the Number of Clusters Using a Support Vector Machine ApproachJavier M. Moguerza, Alberto Muñoz, Manuel Martín-Merino. 763-768 [doi]
- Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document ModelingGeorge Siolas, Florence d Alché-Buc. 769-776 [doi]
- Reinforcement Learning for Biped LocomotionMasa-aki Sato, Yutaka Nakamura, Shin Ishii. 777-782 [doi]
- Dynamical Neural Schmitt Trigger for Robot ControlMartin Hülse, Frank Pasemann. 783-788 [doi]
- Evolutionary Artificial Neural Networks for Quadruped LocomotionDavid McMinn, Grant M. Maxwell, Christopher MacLeod. 789-794 [doi]
- Saliency Maps Operating on Stereo Images Detect Landmarks and Their DistanceJörg Conradt, Pascal Simon, Michel Pescatore, Paul F. M. J. Verschure. 795-800 [doi]
- A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control SystemsRanda Herzallah, David Lowe. 801-806 [doi]
- Tool Wear Prediction in Milling Using Neural NetworksRodolfo E. Haber, Angel Alique, José R. Alique. 807-812 [doi]
- Speeding-up Reinforcement Learning with Multi-step ActionsRalf Schoknecht, Martin A. Riedmiller. 813-818 [doi]
- Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System IdentificationBranimir Todorovic, Miomir S. Stankovic, Claudio Moraga. 819-824 [doi]
- Integration of Metric Place Relations in a Landmark GraphWolfgang Hübner, Hanspeter A. Mallot. 825-830 [doi]
- Hierarchical Object Classification for Autonomous Mobile RobotsSteffen Simon, Friedhelm Schwenker, Hans A. Kestler, Gerhard K. Kraetzschmar, Günther Palm. 831-836 [doi]
- Self Pruning Gaussian Synapse Networks for Behavior Based RobotsJ. A. Becerra, Richard J. Duro, José Santos Reyes. 837-843 [doi]
- Second-Order Conditioning in Mobile RobotsSamuel Benzaquen, Carolina Chang. 844-849 [doi]
- An Optimal Sensor Morphology Improves Adaptability of Neural Network ControllersLukas Lichtensteiger, Rolf Pfeifer. 850-855 [doi]
- Learning Inverse Kinematics via Cross-Point Function DecompositionVicente Ruiz de Angulo, Carme Torras. 856-864 [doi]
- The Principal Components Analysis Self-Organizing MapEzequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz. 865-870 [doi]
- Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing MapsElias Pampalk, Andreas Rauber, Dieter Merkl. 871-876 [doi]
- Rule Extraction from Self-Organizing NetworksBarbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann. 877-883 [doi]
- Predictive Self-Organizing Map for Vector Quantization of Migratory SignalsAkira Hirose, Tomoyuki Nagashima. 884-889 [doi]
- Categorical Topological MapMustapha Lebbah, Christian Chabanon, Fouad Badran, Sylvie Thiria. 890-895 [doi]
- Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active DendritesChristo Panchev, Stefan Wermter, Huixin Chen. 896-901 [doi]
- Parametrized SOMs for Object Recognition and Pose EstimationAxel Saalbach, Gunther Heidemann, Helge Ritter. 902-907 [doi]
- An Effective Traveling Salesman Problem Solver Based on Self-Organizing MapAlessio Plebe. 908-913 [doi]
- Coordinating Principal Component AnalyzersJakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse. 914-919 [doi]
- Lateral Interactions in Self-Organizing MapsRoberto Viviani. 920-926 [doi]
- Complexity Selection of the Self-Organizing MapAnssi Lensu, Pasi Koikkalainen. 927-932 [doi]
- Nonlinear Projection with the Isotop MethodJohn Aldo Lee, Michel Verleysen. 933-938 [doi]
- Asymptotic Level Density of the Elastic Net Self-Organizing Feature MapJens Christian Claussen, Heinz G. Schuster. 939-944 [doi]
- Local Modeling Using Self-Organizing Maps and Single Layer Neural NetworksOscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas. 945-950 [doi]
- Distance Matrix Based Clustering of the Self-Organizing MapJuha Vesanto, Mika Sulkava. 951-956 [doi]
- Mapping the Growing Neural Gas to Situation CalculusDimitrios Vogiatzis, Andreas Stafylopatis. 957-962 [doi]
- Robust Unsupervised Competitive Neural Network by Local Competitive SignalsErnesto Chiarantoni, Giuseppe Acciani, Girolamo Fornarelli, Silvano Vergura. 963-968 [doi]
- Goal Sequencing for Construction Agents in a Simulated EnvironmentAnand Panangadan, Michael G. Dyer. 969-974 [doi]
- Nonlinear Modeling of Dynamic Systems with the Self-Organizing MapGuilherme De A. Barreto, Aluizio F. R. Araújo. 975-980 [doi]
- Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing MapsMarkus Koskela, Jorma Laaksonen, Erkki Oja. 981-986 [doi]
- A Pareto Self-Organizing MapAndrew Hunter, Richard Lee Kennedy. 987-992 [doi]
- A SOM Variant Based on the Wilcoxon Test for Document Organization and RetrievalApostolos Georgakis, Constantine Kotropoulos, Ioannis Pitas. 993-998 [doi]
- Learning More Accurate Metrics for Self-Organizing MapsJaakko Peltonen, Arto Klami, Samuel Kaski. 999-1004 [doi]
- Correlation Visualization of High Dimensional Data Using Topographic MapsIgnacio Díaz Blanco, Abel A. Cuadrado Vega, Alberto B. Diez González. 1005-1012 [doi]
- Continuous Unsupervised Sleep Staging Based on a Single EEG SignalArthur Flexer, Georg Gruber, Georg Dorffner. 1013-1018 [doi]
- Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio ManagementKai Chun Chiu, Lei Xu. 1019-1024 [doi]
- On Convergence of an Iterative Factor Estimate Algorithm for the NFA ModelZhiyong Liu, Lei Xu. 1025-1030 [doi]
- Error Functions for Prediction of Episodes of Poor Air QualityRobert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic. 1031-1036 [doi]
- Adaptive Importance Sampling Technique for Neural Detector TrainingJosé L. Sanz-González, Francisco Álvarez-Vaquero. 1037-1042 [doi]
- State Space Neural Networks for Freeway Travel Time PredictionHans van Lint, Serge P. Hoogendoorn, Henk J. van Zuylen. 1043-1048 [doi]
- Overcomplete ICA with a Geometric AlgorithmFabian J. Theis, Elmar Wolfgang Lang, Tobias Westenhuber, Carlos García Puntonet. 1049-1054 [doi]
- Improving Long-Term Online Prediction with Decoupled Extended Kalman FiltersJuan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck. 1055-1069 [doi]
- Market Modeling Based on Cognitive AgentsGeorg Zimmermann, Ralph Grothmann, Christoph Tietz, Ralph Neuneier. 1061-1067 [doi]
- An Efficiently Focusing Large Vocabulary Language ModelMikko Kurimo, Krista Lagus. 1068-1073 [doi]
- Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet ComponentsMasaru Teranishi, Sigeru Omatu, Toshihisa Kosaka. 1074-1079 [doi]
- Robust Estimator for the Learning Process in Neural Networks Applied in Time SeriesHéctor Allende, Claudio Moraga, Rodrigo Salas. 1080-1086 [doi]
- An Improved Cumulant Based Method for Independent Component AnalysisTobias Blaschke, Laurenz Wiskott. 1087-1093 [doi]
- Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional IterationLars Kindermann, Achim Lewandowski, Peter Protzel. 1094-1099 [doi]
- Support Vector Robust Algorithms for Non-parametric Spectral AnalysisJosé Luis Rojo-Álvarez, Arcadio García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez. 1100-1105 [doi]
- Support Vector Method for ARMA System Identification: A Robust Cost InterpretationJosé Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez. 1106-1111 [doi]
- Dynamics of ICA for High-Dimensional DataGleb Basalyga, Magnus Rattray. 1112-1118 [doi]
- Beyond Comon s Identifiability Theorem for Independent Component AnalysisRiccardo Boscolo, Hong Pan, Vwani P. Roychowdhury. 1119-1124 [doi]
- Temporal Processing of Brain Activity for the Recognition of EEG PatternsAlexandre Hauser, Pierre-Edouard Sottas, José del R. Millán. 1125-1130 [doi]
- Critical Assessment of Option Pricing Methods Using Artificial Neural NetworksPanayiotis Ch. Andreou, Chris Charalambous, Spiros H. Martzoukos. 1131-1136 [doi]
- Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission RatesBenjamin Blankertz, Christin Schäfer, Guido Dornhege, Gabriel Curio. 1137-1143 [doi]
- Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural NetworksPierre-Edouard Sottas, Wulfram Gerstner. 1144-1149 [doi]
- Convolutional Neural Networks for Radar DetectionGustavo López-Risueño, Jesús Grajal, Simon Haykin, Rosa Díaz-Oliver. 1150-1155 [doi]
- A Simple Generative Model for Single-Trial EEG ClassificationJens Kohlmorgen, Benjamin Blankertz. 1156-1161 [doi]
- Robust Blind Source Separation Utilizing Second and Fourth Order StatisticsPando G. Georgiev, Andrzej Cichocki. 1162-1167 [doi]
- Adaptive Differential Decorrelation: A Natural Gradient AlgorithmSeungjin Choi. 1168-1173 [doi]
- An Application of SVM to Lost Packets Reconstruction in Voice-Enabled ServicesCarmen Peláez-Moreno, Emilio Parrado-Hernández, Ascensión Gallardo-Antolín, Adrián Zambrano-Miranda, Fernando Díaz-de-María. 1174-1179 [doi]
- Baum-Welch Learning in Discrete Hidden Markov Models with Linear Factorial ConstraintsJens R. Otterpohl. 1180-1185 [doi]
- Mixtures of Autoregressive Models for Financial Risk AnalysisAlberto Suárez. 1186-1194 [doi]
- Kernel-Based 3D Object RepresentationAnnalisa Barla, Francesca Odone. 1195-1200 [doi]
- Multiresolution Support for Adaptive Image Restoration Using Neural NetworksSouheila Ghennam, Khier Benmahammed. 1201-1206 [doi]
- Audio-Visual Speech Recognition One Pass Learning with Spiking NeuronsRenaud Séguier, David Mercier. 1207-1212 [doi]
- An Algorithm for Image Representation as Independent Levels of ResolutionAntonio Turiel, Jean-Pierre Nadal, Néstor Parga. 1213-1218 [doi]
- Circular Back-Propagation Networks for Measuring Displayed Image QualityPaolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx, Elena Vicario. 1219-1224 [doi]
- Unsupervised Learning of Combination Features for Hierarchical Recognition ModelsHeiko Wersing, Edgar Körner. 1225-1230 [doi]
- Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image RestorationIgor N. Aizenberg, Taras Bregin, Constantine Butakoff, Victor N. Karnaukhov, Nickolay S. Merzlyakov, Olga Milukova. 1231-1236 [doi]
- Using Neural Field Dynamics in the Context of Attentional ControlGerriet Backer, Bärbel Mertsching. 1237-1242 [doi]
- A Component Association Architecture for Image UnderstandingJens Teichert, Rainer Malaka. 1243-1248 [doi]
- Novelty Detection in Video Surveillance Using Hierarchical Neural NetworksJonathan Owens, Andrew Hunter, Eric Fletcher. 1249-1254 [doi]
- Vergence Control and Disparity Estimation with Energy Neurons: Theory and ImplementationWolfgang Stürzl, Ulrich Hoffmann, Hanspeter A. Mallot. 1255-1260 [doi]
- Population Coding of Multiple Edge OrientationNiklas Lüdtke, Richard C. Wilson, Edwin R. Hancock. 1261-1267 [doi]
- A Neural Model of the Fly Visual System Applied to Navigational TasksCyrill Planta, Jörg Conradt, Adrian Jencik, Paul F. M. J. Verschure. 1268-1274 [doi]
- A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of AttentionMasao Shimomura, Shunji Satoh, Shogo Miyake, Hirotomo Aso. 1275-1280 [doi]
- Automatic Fingerprint Verification Using Neural NetworksAnna Ceguerra, Irena Koprinska. 1281-1286 [doi]
- Fusing Images with Multiple Focuses Using Support Vector MachinesShutao Li, James T. Kwok, Yaonan Wang. 1287-1292 [doi]
- An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection WeightsArne Heittmann, Ulrich Ramacher, Daniel Matolin, Jörg Schreiter, René Schüffny. 1293-1298 [doi]
- Kohonen Maps Applied to Fast Image Vector QuantizationChristophe Foucher, Daniel Le Guennec, Gilles Vaucher. 1299-1304 [doi]
- Unsupervised - Neural Network Approach for Efficient Video DescriptionGiuseppe Acciani, Ernesto Chiarantoni, Daniela Girimonte, Cataldo Guaragnella. 1305-1311 [doi]
- Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference SequencesKlimis S. Ntalianis, Nikolaos D. Doulamis, Anastasios D. Doulamis, Stefanos D. Kollias. 1312-1318 [doi]
- Learning Face Localization Using Hierarchical Recurrent NetworksSven Behnke. 1319-1324 [doi]
- A Comparison of Face Detection AlgorithmsIan R. Fasel, Javier R. Movellan. 1325-1332 [doi]
- Adaptive Model Selection for Digital Linear ClassifiersAndrea Boni. 1333-1338 [doi]
- Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference MinimizationVicente Ruiz de Angulo, Carme Torras. 1339-1344 [doi]
- Automatic Hyperparameter Tuning for Support Vector MachinesDavide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino. 1345-1350 [doi]
- Conjugate Directions for Stochastic Gradient DescentNicol N. Schraudolph, Thore Graepel. 1351-1358 [doi]
- Architectural Bias in Recurrent Neural Networks - Fractal AnalysisPeter Tiño, Barbara Hammer. 1359-1364 [doi]
- Continuous-State Hopfield Dynamics Based on Implicit Numerical MethodsMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. 1365-1370 [doi]
- Time-Scaling in Recurrent Neural LearningRicardo Riaza, Pedro J. Zufiria. 1371-1376 [doi]