Abstract is missing.
- Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression ProblemsAlberto Guillén, Antti Sorjamaa, Ginés Rubio, Amaury Lendasse, Ignacio Rojas. 1-9 [doi]
- Kernel Learning for Local Learning Based ClusteringHong Zeng, Yiu-ming Cheung. 10-19 [doi]
- Projective Nonnegative Matrix Factorization with α-DivergenceZhirong Yang, Erkki Oja. 20-29 [doi]
- Active Generation of Training Examples in Meta-RegressionRicardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir. 30-39 [doi]
- A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical DomainsEdmondo Trentin, Leonardo Rigutini. 40-49 [doi]
- Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel LearningDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. 50-59 [doi]
- MINLIP: Efficient Learning of Transformation ModelsVanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel. 60-69 [doi]
- Efficient Uncertainty Propagation for Reinforcement Learning with Limited DataAlexander Hans, Steffen Udluft. 70-79 [doi]
- Optimal Training Sequences for Locally Recurrent Neural NetworksKrzysztof Patan, Maciej Patan. 80-89 [doi]
- Statistical Instance-Based Ensemble Pruning for Multi-class ProblemsGonzalo MartÃnez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez. 90-99 [doi]
- Robustness of Kernel Based Regression: A Comparison of Iterative Weighting SchemesKris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor. 100-110 [doi]
- Mixing Different Search Biases in Evolutionary Learning AlgorithmsKristina Davoian, Wolfram-Manfred Lippe. 111-120 [doi]
- Semi-supervised Learning for Regression with Co-training by CommitteeMohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm. 121-130 [doi]
- An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial DataRodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho. 131-140 [doi]
- Probability-Based Distance Function for Distance-Based ClassifiersCezary Dendek, Jacek Mandziuk. 141-150 [doi]
- Constrained Learning Vector Quantization or Relaxed k-SeparabilityMarek Grochowski, Wlodzislaw Duch. 151-160 [doi]
- Minimization of Quadratic Binary Functional with Additive Connection MatrixLeonid B. Litinskii. 161-170 [doi]
- Mutual Learning with Many Linear Perceptrons: On-Line Learning TheoryKazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada. 171-180 [doi]
- Synchrony State Generation in Artificial Neural Networks with Stochastic SynapsesKarim El-Laithy, Martin Bogdan. 181-190 [doi]
- Coexistence of Cell Assemblies and STDPFlorian Hauser, David Bouchain, Günther Palm. 191-197 [doi]
- Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle ControlKevin N. Gurney, Amir Hussain, Jonathan M. Chambers, Rudwan Abdullah. 198-207 [doi]
- Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory MidbrainJindong Liu, David Perez-Gonzalez, Adrian Rees, Harry R. Erwin, Stefan Wermter. 208-217 [doi]
- A Model of Neuronal Specialization Using Hebbian Policy-Gradient with "Slow" NoiseEmmanuel Daucé. 218-228 [doi]
- How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic InhibitionVassilis Cutsuridis, Stuart Cobb, Bruce P. Graham. 229-238 [doi]
- Optimizing Generic Neural Microcircuits through Reward Modulated STDPPrashant Joshi, Jochen Triesch. 239-248 [doi]
- Calcium Responses Model in Striatum Dependent on Timed Input SourcesTakashi Nakano, Junichiro Yoshimoto, Jeff Wickens, Kenji Doya. 249-258 [doi]
- Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2Rodolfo V. GarcÃa, Fernando Rojas, Jesús González, Belén San Román, Olga Valenzuela, Alberto Prieto, Luis Velázquez, Roberto RodrÃguez. 259-266 [doi]
- Hippocampus, Amygdala and Basal Ganglia Based Navigation ControlAnsgar Koene, Tony J. Prescott. 267-276 [doi]
- A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural NetworksVladyslav V. Shaposhnyk, Pierre Dutoit, Victor Contreras-Lámus, Stephen Perrig, Alessandro E. P. Villa. 277-286 [doi]
- Continuous Attractors of Lotka-Volterra Recurrent Neural NetworksHaixian Zhang, Jiali Yu, Zhang Yi. 287-295 [doi]
- Learning Complex Population-Coded SequencesKiran V. Byadarhaly, Mithun Perdoor, Suresh Vasa, Emmanuel Fernandez, Ali A. Minai. 296-305 [doi]
- Structural Analysis on STDP Neural Networks Using Complex Network TheoryHideyuki Kato, Tohru Ikeguchi, Kazuyuki Aihara. 306-314 [doi]
- Time Coding of Input Strength Is Intrinsic to Synapses with Short Term PlasticityMárton Albert Hajnal. 315-324 [doi]
- Information Processing and Timing Mechanisms in VisionAndrea Guazzini, Pietro Liò, Andrea Passarella, Marco Conti. 325-334 [doi]
- Review of Neuron Types in the Retina: Information Models for NeuroengineeringGerman D. Valderrama-Gonzalez, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu. 335-344 [doi]
- Brain Electric Microstate and Perception of Simultaneously Audiovisual PresentationWichian Sittiprapaporn, Jun Soo Kwon. 345-355 [doi]
- A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive FieldsJosé R. A. Torreão, João L. Fernandes, Silvia M. C. Victer. 356-362 [doi]
- Area Chip Consumption by a Novel Digital CNN Architecture for Pattern RecognitionEmil Raschman, Daniela Durackova. 363-372 [doi]
- Multifold Acceleration of Neural Network Computations Using GPUAlexander Guzhva, Sergey Dolenko, Igor Persiantsev. 373-380 [doi]
- Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor UnitMichal Cernanský. 381-390 [doi]
- A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image SensorNorihiro Takahashi, Tadashi Shibata. 391-400 [doi]
- Current-Mode Computation with Noise in a Scalable and Programmable Probabilistic Neural VLSI SystemChih-Cheng Lu, H. Chen. 401-409 [doi]
- Minimising Contrastive Divergence with Dynamic Current MirrorsChih-Cheng Lu, H. Chen. 410-420 [doi]
- Spiking Neural Network Self-configuration for Temporal Pattern Recognition AnalysisJosé Luis Rosselló, Ivan de Paúl, Vincent Canals, Antoni Morro. 421-428 [doi]
- Image Recognition in Analog VLSI with On-Chip LearningGonzalo Carvajal, Waldo Valenzuela, Miguel Figueroa. 429-438 [doi]
- Behavior Modeling by Neural NetworksLambert Spaanenburg, Mona Akbarniai Tehrani, Richard P. Kleihorst, Peter B. L. Meijer. 439-448 [doi]
- Statistical Parameter Identification of Analog Integrated Circuit Reverse ModelsBruno Apolloni, Simone Bassis, Cristian Mesiano, Salvatore Rinaudo, Angelo Ciccazzo, Angelo Marotta. 449-458 [doi]
- A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input PotentialsCosmin Radu Popa. 459-466 [doi]
- FPGA Implementation of Support Vector Machines for 3D Object IdentificationMarta Ruiz-Llata, Mar Yébenes-Calvino. 467-474 [doi]
- Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks Using Fractional Fixed Point RepresentationRodrigo Martins da Silva, Nadia Nedjah, Luiza de Macedo Mourelle. 475-484 [doi]
- A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-MeansJefferson R. Souza, Teresa Bernarda Ludermir, Leandro M. Almeida. 485-494 [doi]
- Image Theft Detection with Self-Organising MapsPhilip Prentis, Mats Sjöberg, Markus Koskela, Jorma Laaksonen. 495-504 [doi]
- Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog PatternsTomonori Shirotori, Yuko Osana. 505-514 [doi]
- Surface Reconstruction Method Based on a Growing Self-Organizing MapRenata L. M. E. do Rego, Hansenclever de F. Bassani, Daniel Filgueiras, Aluizio F. R. Araújo. 515-524 [doi]
- Micro-SOM: A Linear-Time Multivariate Microaggregation Algorithm Based on Self-Organizing MapsAgusti Solanas, Arnau Gavalda, Robert Rallo. 525-535 [doi]
- Identifying Clusters Using Growing Neural Gas: First ResultsRiccardo Rizzo, Alfonso Urso. 536-545 [doi]
- Hierarchical Architecture with Modular Network SOM and Modular Reinforcement LearningMasumi Ishikawa, Kosuke Ueno. 546-556 [doi]
- Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy SystemsIvna Valença, Teresa Bernarda Ludermir. 557-566 [doi]
- Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic ModelNikolaos Gianniotis, Peter Tino, Steve Spreckley, Somak Raychaudhury. 567-576 [doi]
- Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time SeriesHujun Yin, He Ni. 577-586 [doi]
- Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical RepresentationsA. Ravishankar Rao, Guillermo A. Cecchi. 587-597 [doi]
- Height Defuzzification Method on L:::∞::: SpaceTakashi Mitsuishi, Yasunari Shidama. 598-607 [doi]
- An Additive Reinforcement LearningTakeshi Mori, Shin Ishii. 608-617 [doi]
- Neural Spike Suppression by Adaptive Control of an Unknown Steady StateArünas Tamasevicius, Elena Tamaseviciute, Gytis Mykolaitis, Skaidra Bumeliene, Raimundas Kirvaitis, Ruedi Stoop. 618-627 [doi]
- Combined Mechanisms of Internal Model Control and Impedance Control under Force FieldsNaoki Tomi, Manabu Gouko, Koji Ito. 628-637 [doi]
- Neural Network Control of Unknown Nonlinear Systems with Efficient Transient PerformanceElias B. Kosmatopoulos, Diamantis Manolis, Markos Papageorgiou. 638-647 [doi]
- High-Order Fuzzy Switching Neural Networks: Application to the Tracking Control of a Class of Uncertain SISO Nonlinear SystemsHaris E. Psillakis. 648-657 [doi]
- A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward NetworkRua-Huan Tsaih, Yat-Wah Wan. 658-667 [doi]
- Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex FunctionsAmit Bhaya, Fernando A. Pazos, Eugenius Kaszkurewicz. 668-677 [doi]
- On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling StudyToshihiko Matsuka, Hidehito Honda, Arieta Chouchourelou, Sachiko Kiyokawa. 678-687 [doi]
- Dynamics of Incremental Learning by VSF-NetworkYoshitsugu Kakemoto, Shinichi Nakasuka. 688-697 [doi]
- Kernel CMAC with Reduced Memory ComplexityGábor Horváth, Kristóf Gáti. 698-707 [doi]
- Model Complexity of Neural Networks and Integral TransformsVera Kurková. 708-717 [doi]
- Function Decomposition NetworkYevgeniy Bodyanskiy, Sergiy Popov, Mykola Titov. 718-727 [doi]
- Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight CodesStephen Hobson, Jim Austin. 728-736 [doi]
- Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner s DilemmaVassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou. 737-746 [doi]
- Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile RobotsEric A. Antonelo, Benjamin Schrauwen. 747-756 [doi]
- Switching Hidden Markov Models for Learning of Motion Patterns in VideosMatthias Höffken, Daniel Oberhoff, Marina Kolesnik. 757-766 [doi]
- Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain SignalsYasuo Matsuyama, Fumiya Matsushima, Youichi Nishida, Takashi Hatakeyama, Nimiko Ochiai, Shogo Aida. 767-778 [doi]
- A Neural Network Model of Metaphor Generation with Dynamic InteractionAsuka Terai, Masanori Nakagawa. 779-788 [doi]
- Almost Random Projection MachineWlodzislaw Duch, Tomasz Maszczyk. 789-798 [doi]
- Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean DistanceRenata M. C. R. de Souza, Telmo de M. Silva Filho. 799-806 [doi]
- Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation MethodIvan Nunes da Silva, Rogério Andrade Flauzino. 807-816 [doi]
- Neuro-fuzzy Rough Classifier EnsembleMarcin Korytkowski, Robert Nowicki, Rafal Scherer. 817-823 [doi]
- Combining Feature Selection and Local Modelling in the KDD Cup 99 DatasetIago Porto-DÃaz, David MartÃnez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero. 824-833 [doi]
- An Automatic Parameter Adjustment Method of Pulse Coupled Neural Network for Image SegmentationMasato Yonekawa, Hiroaki Kurokawa. 834-843 [doi]
- Pattern Identification by Committee of Potts PerceptronsVladimir Kryzhanovsky. 844-853 [doi]
- Is Primal Better Than DualShigeo Abe. 854-863 [doi]
- A Fast BMU Search for Support Vector MachineWataru Kasai, Yutaro Tobe, Osamu Hasegawa. 864-873 [doi]
- European Option Pricing by Using the Support Vector Regression ApproachPanayiotis Ch. Andreou, Chris Charalambous, Spiros H. Martzoukos. 874-883 [doi]
- Learning SVMs from Sloppily Labeled DataGuillaume Stempfel, Liva Ralaivola. 884-893 [doi]
- The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from SpeechFriedhelm Schwenker, Stefan Scherer, Yasmine M. Magdi, Günther Palm. 894-903 [doi]
- A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable ProblemsJorge López Lázaro, José R. Dorronsoro. 904-912 [doi]
- Spanning SVM Tree for Personalized Transductive LearningShaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov. 913-922 [doi]
- Improving Text Classification Performance with Incremental Background KnowledgeCatarina Silva, Bernardete Ribeiro. 923-931 [doi]
- Empirical Study of the Universum SVM Learning for High-Dimensional DataVladimir Cherkassky, Wuyang Dai. 932-941 [doi]
- Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature SelectionApostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis. 942-951 [doi]
- Understanding the Principles of Recursive Neural Networks: A Generative Approach to Tackle Model ComplexityAlejandro Chinea Manrique De Lara. 952-963 [doi]
- An EM Based Training Algorithm for Recurrent Neural NetworksJan Unkelbach, Yi Sun, Jürgen Schmidhuber. 964-974 [doi]
- Modeling Dst with Recurrent EM Neural NetworksDerrick Takeshi Mirikitani, Lahcen Ouarbya. 975-984 [doi]
- On the Quantification of Dynamics in Reservoir ComputingDavid Verstraeten, Benjamin Schrauwen. 985-994 [doi]
- Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural NetworksLei Zhang, Pheng-Ann Heng, Zhang Yi. 995-1004 [doi]
- Scalable Neural Networks for Board GamesTom Schaul, Jürgen Schmidhuber. 1005-1014 [doi]
- Reservoir Size, Spectral Radius and Connectivity in Static Classification ProblemsLuÃs A. Alexandre, Mark J. Embrechts. 1015-1024 [doi]