Abstract is missing.
- Synchronization and acceleration: complementary mechanisms of temporal codingThomas Burwick. 1-6 [doi]
- Pattern Recognition using Chaotic TransientsWee Jin Goh, Nigel Crook. 7-12 [doi]
- Order in Complex Systems of Nonlinear Oscillators: Phase Locked SubspacesJan-Hendrik Schleimer, Ricardo Vigário. 13-18 [doi]
- Kernelized Self-Organizing Maps for Structured DataFabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner. 19-24 [doi]
- Model collisions in the dissimilarity SOMFabrice Rossi. 25-30 [doi]
- Clustering a medieval social network by SOM using a kernel based distance measureNathalie Villa, Romain Boulet. 31-36 [doi]
- Relevance matrices in LVQPetra Schneider, Michael Biehl, Barbara Hammer. 37-42 [doi]
- Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video trackingGeorges Adrian Drumea, Hervé Frezza-Buet. 43-48 [doi]
- Systematicity in sentence processing with a recursive self-organizing neural networkIgor Farkas, Matthew W. Crocker. 49-54 [doi]
- Agglomerative Independent Variable Group AnalysisAntti Honkela, Jeremias Seppä, Esa Alhoniemi. 55-60 [doi]
- Classifying n-back EEG data using entropy and mutual information featuresLiang Wu, Predrag Neskovic, Etienne Reyes, Elena Festa, Heindel William. 61-66 [doi]
- Nearest Neighbor Distributions and Noise Variance EstimationElia Liitiäinen, Francesco Corona, Amaury Lendasse. 67-72 [doi]
- Complexity bounds of radial basis functions and multi-objective learningIllya Kokshenev, Antônio P. Braga. 73-78 [doi]
- How to process uncertainty in machine learning?Barbara Hammer, Thomas Villmann. 79-90 [doi]
- An Estimation of Response Certainty using Features of Eye-movementsMinoru Nakayama, Yosiyuki Takahasi. 91-96 [doi]
- Visualisation of tree-structured data through generative probabilistic modellingNikolaos Gianniotis, Peter Tino. 97-102 [doi]
- Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDSThomas Villmann, Marc Strickert, Cornelia Brüß, Frank-Michael Schleif, Udo Seiffert. 103-108 [doi]
- SOM for intensity inhomogeneity correction in MRIMaite García-Sebastián, Manuel Graña. 109-114 [doi]
- SOM+EOF for finding missing valuesAntti Sorjamaa, Paul Merlin, Bertrand Maillet, Amaury Lendasse. 115-120 [doi]
- Self-organized chains for clusteringHassan Ghaziri. 121-126 [doi]
- On the dynamics of Vector Quantization and Neural GasAree Witoelar, Michael Biehl, Anarta Ghosh, Barbara Hammer. 127-132 [doi]
- Three-dimensional self-organizing dynamical systems for discrete structures memorizing and retrievalAlexander Yudashkin. 133-138 [doi]
- Clustering using genetic algorithm combining validation criteriaMurilo Coelho Naldi, André Carlos Ponce Leon Ferreira de Carvalho. 139-144 [doi]
- Toward a robust 2D spatio-temporal self-organizationThomas Girod, Laurent Bougrain, Frédéric Alexandre. 145-150 [doi]
- Adaptive Weight Change Mechanism for Kohonens s Neural Network Implemented in CMOS 0.18 um TechnologyTomasz Talaska, Rafal Dlugosz, Witold Pedrycz. 151-156 [doi]
- Feature clustering and mutual information for the selection of variables in spectral dataCatherine Krier, Damien François, Fabrice Rossi, Michel Verleysen. 157-162 [doi]
- Prediction of post-synaptic activity in proteins using recursive feature eliminationBernardo Penna Resende de Carvalho, Ricardo de Souza Ribeiro, Talles Henrique de Medeiros. 163-168 [doi]
- A new feature selection scheme using data distribution factor for transactional dataPiyang Wang, Tommy W. S. Chow. 169-174 [doi]
- Informational cost in correlation-based neuronal networksGaetano Liborio Aiello, Carlo Casarino. 175-179 [doi]
- Controlling complexity of RBF networks by similarityUlrich Rückert, Ralf Eickhoff. 181-186 [doi]
- Adaptive Global Metamodeling with Neural NetworksDirk Gorissen, Wouter Hendrickx, Tom Dhaene. 187-192 [doi]
- Convex optimization for the design of learning machinesKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor. 193-204 [doi]
- Deploying SDP for machine learningTijl De Bie. 205-210 [doi]
- A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learningSándor Szedmák, Tijl De Bie, David R. Hardoon. 211-216 [doi]
- Model Selection for Kernel Probit RegressionGavin C. Cawley. 217-222 [doi]
- Interval discriminant analysis using support vector machinesCecilio Angulo, Davide Anguita, Luis González. 223-228 [doi]
- Mixtures of robust probabilistic principal component analyzersCédric Archambeau, Nicolas Delannay, Michel Verleysen. 229-234 [doi]
- Learning topology of a labeled data set with the supervised generative gaussian graphPierre Gaillard, Michaël Aupetit, Gérard Govaert. 235-240 [doi]
- Markovian blind separation of non-stationary temporally correlated sourcesRima Guidara, Shahram Hosseini, Yannick Deville. 241-246 [doi]
- Collaborative Filtering with interlaced Generalized Linear ModelsNicolas Delannay, Michel Verleysen. 247-252 [doi]
- Computing and stopping the solution paths for /nu -SVRGilles Gasso, Karina Zapien Arreola, Stéphane Canu. 253-258 [doi]
- Optimizing kernel parameters by second-order methodsShigeo Abe. 259-264 [doi]
- A novel kernel-based method for local pattern extraction in random process signalsMajid Beigi, Andreas Zell. 265-270 [doi]
- One-class SVM regularization path and comparison with alpha seedingAlain Rakotomamonjy, Manuel Davy. 271-276 [doi]
- Reinforcement learning in a nutshellVerena Heidrich-Meisner, Martin Lauer, Christian Igel, Martin A. Riedmiller. 277-288 [doi]
- A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TDManuel Loth, Philippe Preux, Manuel Davy. 289-294 [doi]
- Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive LearningJan Peters, Stefan Schaal. 295-300 [doi]
- Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environmentsDaniel Schneegaß, Steffen Udluft, Thomas Martinetz. 301-306 [doi]
- Immediate Reward Reinforcement Learning for Projective Kernel MethodsColin Fyfe, Pei Ling Lai. 307-312 [doi]
- Replacing eligibility trace for action-value learning with function approximationKary Främling. 313-318 [doi]
- The Recurrent Control Neural NetworkAnton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann. 319-324 [doi]
- The Intrinsic Recurrent Support Vector MachineDaniel Schneegaß, Anton Maximilian Schäfer, Thomas Martinetz. 325-330 [doi]
- A-LSSVM: an Adaline based iterative sparse LS-SVM classifierBernardo Penna Resende de Carvalho, Antônio de Pádua Braga. 331-336 [doi]
- Explicit Kernel Rewards Regression for data-efficient near-optimal policy identificationDaniel Schneegaß, Steffen Udluft, Thomas Martinetz. 337-342 [doi]
- Kernel-based online machine learning and support vector reductionSumeet Agarwal, V. Vijaya Saradhi, Harish Karnick. 343-348 [doi]
- Kernel PCA based clustering for inducing features in text categorizationZsolt Minier, Lehel Csató. 349-354 [doi]
- Kernel on Bag of Paths For Measuring Similarity of ShapesFrederic Suard, Alain Rakotomamonjy, Abdelaziz Benrshrair. 355-360 [doi]
- Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machinesFrancesc Benimeli, Ken Sharman. 361-366 [doi]
- Bat echolocation modelling using spike kernels with Support Vector RegressionBertrand Fontaine, Herbert Peremans, Benjamin Schrauwen. 367-372 [doi]
- Ensemble neural classifier design for face recognitionTerry Windeatt. 373-378 [doi]
- Data reduction using classifier ensemblesJ. Salvador Sánchez, Ludmila I. Kuncheva. 379-384 [doi]
- ICA-based High Frequency VaR for Risk ManagementPatrick Kouontchou, Bertrand Maillet. 385-390 [doi]
- Algebraic inversion of an artificial neural network classifierTravis Wiens, Rich Burton, Greg Schoenau. 391-396 [doi]
- Estimation of tangent planes for neighborhood graph correctionKarina Zapien Arreola, Gilles Gasso, Stéphane Canu. 397-402 [doi]
- Estimating the Number of Components in a Mixture of Multilayer PerceptronsMadalina Olteanu, Joseph Rynkiewicz. 403-408 [doi]
- Derivation of nonlinear amplitude equations for the normal modes of a self-organizing systemJunmei Zhu, Christoph von der Malsburg. 409-414 [doi]
- A neural model of cross-modal association in insectsJan Wessnitzer, Barbara Webb. 415-420 [doi]
- Transition from initialization to working stage in biologically realistic networksAndreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt. 421-426 [doi]
- A supervised learning approach based on STDP and polychronization in spiking neuron networksHélène Paugam-Moisy, Régis Martinez, Samy Bengio. 427-432 [doi]
- Computational Intelligence approaches to causality detectionKaterina Hlavácková-Schindler, Pablo F. Verdes. 433-440 [doi]
- Distinguishing between cause and effect via kernel-based complexity measures for conditional distributionsXiaohai Sun, Dominik Janzing, Bernhard Schölkopf. 441-446 [doi]
- Causality analysis of LFPs in micro-electrode arrays based on mutual informationNikolay V. Manyakov, Marc M. Van Hulle. 447-452 [doi]
- Learning causality by identifying common effects with kernel-based dependence measuresXiaohai Sun, Dominik Janzing. 453-458 [doi]
- Causality and communities in neural networksLeonardo Angelini, Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia. 459-464 [doi]
- Exploring the causal order of binary variables via exponential hierarchies of Markov kernelsXiaohai Sun, Dominik Janzing. 465-470 [doi]
- An overview of reservoir computing: theory, applications and implementationsBenjamin Schrauwen, David Verstraeten, Jan M. Van Campenhout. 471-482 [doi]
- Spiral Recurrent Neural Network for Online LearningHuaien Gao, Rudolf Sollacher, Hans-Peter Kriegel. 483-488 [doi]
- Several ways to solve the MSO problemJochen J. Steil. 489-494 [doi]
- Adapting reservoir states to get Gaussian distributionsDavid Verstraeten, Benjamin Schrauwen, Dirk Stroobandt. 495-500 [doi]
- Structured reservoir computing with spatiotemporal chaotic attractorsCarlos Lourenço. 501-506 [doi]
- A first attempt of reservoir pruning for classification problemsXavier Dutoit, Hendrik Van Brussel, Marnix Nuttin. 507-512 [doi]
- Intrinsic plasticity for reservoir learning algorithmsMarion Wardermann, Jochen J. Steil. 513-518 [doi]
- Bifurcation analysis for a discrete-time Hopfield neural network of two neurons with two delaysEva Kaslik, Stefan Balint. 519-524 [doi]
- Spicules-based competitive neural networkJosé Antonio Gómez-Ruiz, José Muñoz-Pérez, M. Angeles García-Bernal, Ezequiel López-Rubio. 525-530 [doi]
- Sparsely-connected associative memory models with displaced connectivityLee Calcraft, Rod Adams, Neil Davey. 531-536 [doi]
- RNN-based Learning of Compact Maps for Efficient Robot LocalizationAlexander Förster, Alex Graves, Jürgen Schmidhuber. 537-542 [doi]
- Human motion recognition using Nonlinear Transient ComputationNigel Crook, Wee Jin Goh. 543-548 [doi]
- Automatically searching near-optimal artificial neural networksLeandro M. Almeida, Teresa Bernarda Ludermir. 549-554 [doi]
- A new decision strategy in multi-objective training of the artificial neural networksTalles H. Medeiros, Ricardo H. C. Takahashi, Antônio P. Braga. 555-560 [doi]
- Functional elements and networks in fMRIJarkko Ylipaavalniemi, Eerika Savia, Ricardo Vigário, Samuel Kaski. 561-566 [doi]
- Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic processLiang Wu, Predrag Neskovic. 567-572 [doi]
- A hierarchical model for syllable recognitionXavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Christian Goerick. 573-578 [doi]
- Classification of computer intrusions using functional networks. A comparative studyAmparo Alonso-Betanzos, Noelia Sánchez-Maroño, Félix M. Carballal-Fortes, Juan A. Suárez-Romero, Beatriz Pérez-Sánchez. 579-584 [doi]
- Identification of churn routes in the Brazilian telecommunications marketDavid L. García, Alfredo Vellido, Àngela Nebot. 585-590 [doi]