Table of Contents

• The architecture of emergent self-organizing maps to reduce projection errorsAlfred Ultsch, Lutz Herrmann. 1-6 [doi]
• A new learning algorithm for incremental self-organizing mapsYann Prudent, Abdel Ennaji. 7-12 [doi]
• The dynamics of Learning Vector QuantizationMichael Biehl, Anarta Ghosh, Barbara Hammer. 13-18 [doi]
• TreeGNG - hierarchical topological clusteringKevin Doherty, Rod Adams, Neil Davey. 19-24 [doi]
• Two or three things that we (intend to) know about Hopfield and Tank networksMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. 25-36 [doi]
• The Nonlinear Dynamic State neuronNigel Crook, Wee Jin Goh, Mohammad Hawarat. 37-42 [doi]
• Stability of backpropagation-decorrelation efficient O(N) recurrent learningJochen J. Steil. 43-48 [doi]
• Exponential stability of implicit Euler, discrete-time Hopfield neural networksFrancisco R. Villatoro. 49-54 [doi]
• Stochastic analysis of the Abe formulation of Hopfield networksMarie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós. 55-60 [doi]
• Using generic neural networks in the control and prediction of grasp posturesFranck Carenzi, Philippe Gorce, Yves Burnod, Marc A. Maier. 61-66 [doi]
• Exponential stability of stochastic, retarded neural netorksMark P. Joy. 67-72 [doi]
• Organization properties of open networks of cooperative neuro-agentsJean-Pierre Mano, Pierre Glize. 73-78 [doi]
• A ridgelet kernel regression model using genetic algorithmShuyuan Yang, Min Wang, Licheng Jiao. 79-84 [doi]
• Boosting by weighting boundary and erroneous samplesVanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal. 85-90 [doi]
• Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patientsLeonardo Franco, José M. Jerez, Emilio Alba. 91-102 [doi]
• An artificial neural network for analysing the survival of patients with colorectal cancerRachel Bittern, Alfred Cuschieri, Sergey Dolgobrodov, Robin Marshall, Peter Moore, Robert Steele. 103-108 [doi]
• Artificial intelligence techniques for the prediction of bladder cancer progressionMaysam F. Abbod, Jim W. F. Catto, Min-You Chen, Derek A. Linkens, Freddie C. Hamdy. 109-114 [doi]
• Computational models of intracytoplasmic sperm injection prognosisHui Liu, Ash Kshirsagar, Jessica Ku, Dolores Lamb, Craig Niederberger. 115-120 [doi]
• Handling outliers and missing data in brain tumour clinical assessment using t-GTMAlfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente. 121-126 [doi]
• predicting bed demand in a hospital using neural networks and ARIMA models: a hybrid approachMark P. Joy, Simon Jones. 127-132 [doi]
• Functional topographic mapping for robust handling of outliers in brain tumour dataAlfredo Vellido, Paulo J. G. Lisboa. 133-138 [doi]
• Relevance learning for mental disease classificationBarbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann. 139-144 [doi]
• Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural networkOlga Valenzuela, Ignacio Rojas Ruiz, Fernando Rojas Ruiz, Luisa Marquez. 145-150 [doi]
• Artificial neural network fusion: Application to Arabic words recognitionNadir Farah, Tarek Khadir, Mokhtar Sellami. 151-156 [doi]
• Adaptive Simultaneous Perturbation Based Pruning Algorithm for Neural Control SystemsJie Ni, Qing Song. 157-162 [doi]
• Modified backward feature selection by cross validationShigeo Abe. 163-168 [doi]
• Initialisation improvement in engineering feedforward ANN modelsAgathoklis Krimpenis, George-Christopher Vosniakos. 169-174 [doi]
• An On-line Fisher DiscriminantManuel Ortega-Moral, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal. 175-180 [doi]
• Averaging on Riemannian manifolds and unsupervised learning using neural associative memoryNowicki Dimitri, Oleksiy Dekhtyarenko. 181-186 [doi]
• A Stability Condition for Neural Network Control of Uncertain SystemsPornchai Khlaeo-om, Suwat Kuntanapreeda. 187-192 [doi]
• A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extractionBruno Azzerboni, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito. 193-198 [doi]
• Graph-based normalizationCatherine Aaron. 199-204 [doi]
• Domain expert approximation through oracle learningJoshua E. Menke, Tony R. Martinez. 205-210 [doi]
• Generalised Cross Validation for Noise-Free DataTony J. Dodd, Tun M. Ladoni. 211-216 [doi]
• Neural network classification using Shannon s entropyLuís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre. 217-222 [doi]
• Efficient estimation of multidimensional regression model with multilayer perceptronJoseph Rynkiewicz. 223-227 [doi]
• Performance of EMI based mine detection using back-propagation neural networksMatthew Draper, Taskin Koçak. 228-234 [doi]
• Perceptron Learning with Discrete WeightsJoaquim Marques de Sá, Carlos S. Felgueiras. 235-240 [doi]
• Synergies between Evolutionary and Neural ComputationChristian Igel, Bernhard Sendhoff. 241-252 [doi]
• Evolutionary framework for the construction of diverse hybrid ensemblesArjun Chandra, Xin Yao. 253-258 [doi]
• Efficient reinforcement learning through Evolutionary Acquisition of Neural TopologiesYohannes Kassahun, Gerald Sommer. 259-266 [doi]
• Evolving neural networks: Is it really worth the effort?John A. Bullinaria. 267-272 [doi]
• Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative studyLars Gräning, Yaochu Jin, Bernhard Sendhoff. 273-278 [doi]
• Applications of multi-objective structure optimizationAlexander Gepperth, Stefan Roth. 279-284 [doi]
• Empirical evidence of the linear nature of magnetoencephalogramsAntti Honkela, Tomas Östman, Ricardo Vigário. 285-290 [doi]
• To apply score function difference based ICA algorithms to high-dimensional dataKun Zhang, Lai-Wan Chan. 291-296 [doi]
• generative independent component analysis for EEG classificationSilvia Chiappa, David Barber. 297-302 [doi]
• Classification using non-standard metricsBarbara Hammer, Thomas Villmann. 303-316 [doi]
• clustering using a random walk based distance measureLuh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens. 317-324 [doi]
• A probabilistic framework for mismatch and profile string kernelsAlexei Vinokourov, Andrei N. Soklakov, Craig Saunders. 325-330 [doi]
• Generalized Relevance LVQ with Correlation Measures for Biological DataMarc Strickert, Nese Sreenivasulu, Winfriede Weschke, Udo Seiffert, Thomas Villmann. 331-338 [doi]
• Non-Euclidean metrics for similarity search in noisy datasetsDamien François, Vincent Wertz, Michel Verleysen. 339-344 [doi]
• unsupervised fuzzy ensembles and their use in intrusion detectionPaul F. Evangelista, Piero P. Bonissone, Mark J. Embrechts, Boleslaw K. Szymanski. 345-350 [doi]
• Usage Guided Clustering of Web Pages with the Median Self Organizing MapFabrice Rossi, Aïcha El Golli, Yves Lechevallier. 351-356 [doi]
• Mixed Topological MapMustapha Lebbah, Aymeric Chazottes, Fouad Badran, Sylvie Thiria. 357-362 [doi]
• linear algebra for time series of spikesAndrew Carnell, Daniel Richardson. 363-368 [doi]
• Relevance determination in reinforcement learningKatharina Tluk von Toschanowitz, Barbara Hammer, Helge Ritter. 369-374 [doi]
• Feature selection for high-dimensional industrial dataMichael Bensch, Michael Schröder 0002, Martin Bogdan, Wolfgang Rosenstiel. 375-380 [doi]
• Adaptive robot learning in a non-stationary environmentKary Främling. 381-386 [doi]
• Phase transition in sparse associative neural networksOleksiy Dekhtyarenko, Valery Tereshko, Colin Fyfe. 387-392 [doi]
• Neuromimetic model of interval timingClaude F. Touzet, Pierrick Demoulin, Boris Burle, Franck Vidal, Françoise Macar. 393-398 [doi]
• Contextual Processing of Graphs using Self-Organizing MapsMarkus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi. 399-404 [doi]
• Structural feature selection for wrapper methodsGianluca Bontempi. 405-410 [doi]
• Coverage-performance estimation for classification with ambiguous dataThomas P. Trappenberg. 411-416 [doi]
• UWB radar target identification based on linear RBFNNMin Wang, Shuyuan Yang, Shunjun Wu. 417-422 [doi]
• A multi-modular associator network for simple temporal sequence learning and generationMichael Lawrence, Thomas P. Trappenberg, Alan Fine. 423-428 [doi]
• Attractor neural networks with patchy connectivityChristopher Johansson, Martin Rehn, Anders Lansner. 429-434 [doi]
• Isolated word recognition using a Liquid State MachineDavid Verstraeten, Benjamin Schrauwen, Dirk Stroobandt. 435-440 [doi]
• new evidences for sparse coding strategy employed in visual neurons: from the image processing and nonlinear approximation viewpointTan Shan, Licheng Jiao. 441-446 [doi]
• Kernel methods and the exponential familyStéphane Canu, Alexander J. Smola. 447-454 [doi]
• Joint RegularizationKarsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola. 455-460 [doi]
• A Class of Kernels For Sets of VectorsFrédéric Desobry, Manuel Davy, William J. Fitzgerald. 461-466 [doi]
• Support Vector Machine For Functional Data ClassificationNathalie Villa, Fabrice Rossi. 467-472 [doi]
• Translation invariant classification of non-stationary signalsVincent Guigue, Alain Rakotomamonjy, Stéphane Canu. 473-478 [doi]
• Chemical similarity searching using a neural graph matcherStefan Klinger, Jim Austin. 479-484 [doi]
• SVM and pattern-enriched common fate graphs for the game of goLiva Ralaivola, Lin Wu, Pierre Baldi. 485-490 [doi]
• Using CMU PIE Human Face Database to a Convolutional Neural Network - NeocognitronJosé Hiroki Saito, Thiago Vieira de Carvalho, Marcelo Hirakuri, André Saunite, Alessandro Noriaki Ide, Sandra Abib. 491-496 [doi]
• Morphological memories for feature extraction in hyperspectral imagesManuel Graña, F. Xabier Albizuri, Alicia D Anjou. 497-502 [doi]
• Mutual information and gamma test for input selectionNima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse. 503-508 [doi]
• Pruned lazy learning models for time series predictionAntti Sorjamaa, Amaury Lendasse, Michel Verleysen. 509-514 [doi]
• a new wrapper method for feature subset selectionNoelia Sánchez-Maroño, Amparo Alonso-Betanzos, Enrique Castillo. 515-520 [doi]
• Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separationFernando Rojas Ruiz, Carlos García Puntonet, Ignacio Rojas Ruiz. 521-526 [doi]
• sparse Bayesian promoter based gene classificationKee Khoon Lee, Gavin C. Cawley, Michael W. Bevan. 527-532 [doi]
• Graph projection techniques for Self-Organizing MapsGeorg Pölzlbauer, Andreas Rauber, Michael Dittenbach. 533-538 [doi]
• A Neural Network that helps building a Nonlinear Dynamical model of a Power AmplifierGeorgina Stegmayer, Omar Chiotti, Giancarlo Orengo. 539-544 [doi]
• Contextual priming for artificial visual perceptionHervé Guillaume, Nathalie Denquive, Philippe Tarroux. 545-550 [doi]
• Learning to classify a collection of images and textsPanagiotis Saragiotis, Bogdan Vrusias, Khurshid Ahmad. 551-556 [doi]
• Self-Organizing Maps computing on Graphic Process UnitZhongwen Luo, Hongzhi Liu, Zhengping Yang, Xincai Wu. 557-562 [doi]
• Novel Algorithm for Eliminating Folding Effect in Standard SOMKirmene Marzouki, Takeshi Yamakawa. 563-570 [doi]
• Adaline-based estimation of power harmonicsDjaffar Ould Abdeslam, Jean Mercklé, Patrice Wira. 571-576 [doi]
• Radar target recognition using SVMs with a wrapper feature selection driven by immune clonal algorithmXiangrong Zhang, Shuang Wang, Tan Shan, Licheng Jiao. 577-582 [doi]
• Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in cultureBoussa Sofiane, Marin Mattieu, LeFoll Frank, Faure Alain, Leboulanger Francois. 583-588 [doi]
• A neural network approach of ultra-wideband nearfield adaptive beamformingMin Wang, Shuyuan Yang, Shunjun Wu. 589-594 [doi]
• Support vector algorithms as regularization networksAndrea Caponnetto, Lorenzo Rosasco, Francesca Odone, Alessandro Verri. 595-600 [doi]
• Spike-timing-dependent plasticity in small world networksKarsten Kube, Andreas Herzog, Bernd Michaelis, Ayoub Al-Hamadi, Ana D. de Lima, Thomas B. Voigt. 601-606 [doi]