Table of Contents

• A Markov Random Field Approach to Neural Encoding and DecodingMarcel van Gerven, Eric Maris, Tom Heskes. 1-8 [doi]
• Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMsNicolas Heess, Nicolas Le Roux, John M. Winn. 9-16 [doi]
• Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface SystemAndrey Eliseyev, Alim-Louis Benabid, Tatyana I. Aksenova. 17-24 [doi]
• Transformation of Edge Weights in a Graph Bipartitioning ProblemIakov M. Karandashev, Boris V. Kryzhanovsky. 25-31 [doi]
• A Distributed Behavioral Model Using Neural FieldsMohamed Oubbati, Josef Frick, Günther Palm. 32-39 [doi]
• A Hypothetical Free Synaptic Energy Function and Related States of SynchronyKarim El-Laithy, Martin Bogdan. 40-47 [doi]
• Observational Learning Based on Models of Overlapping PathwaysEmmanouil Hourdakis, Panos E. Trahanias. 48-55 [doi]
• On the Capacity of Transient Internal States in Liquid-State MachinesKarim El-Laithy, Martin Bogdan. 56-63 [doi]
• Hybrid Parallel Classifiers for Semantic Subspace LearningNandita Tripathi, Michael P. Oakes, Stefan Wermter. 64-70 [doi]
• Temperature Prediction in Electric Arc Furnace with Neural Network TreeMiroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek. 71-78 [doi]
• Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm OptimizationDimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas. 79-86 [doi]
• SOS-HMM: Self-Organizing Structure of Hidden Markov ModelRakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot. 87-94 [doi]
• Image Receptive Fields Neural Networks for Object RecognitionPaméla Daum, Jean-Luc Buessler, Jean-Philippe Urban. 95-102 [doi]
• A Comparison of the Electric Potential through the Membranes of Ganglion Neurons and Neuroblastoma CellsThiago M. Pinto, Roseli S. Wedemann, Célia Cortez. 103-110 [doi]
• SNPboost: Interaction Analysis and Risk Prediction on GWA DataIngrid Brænne, Jeanette Erdmann, Amir Madany Mamlouk. 111-118 [doi]
• Binary Patterns Identification by Vector Neural Network with Measure of Proximity between Neuron StatesVladimir Kryzhanovsky. 119-126 [doi]
• Emerging Bayesian Priors in a Self-Organizing Recurrent NetworkAndreea Lazar, Gordon Pipa, Jochen Triesch. 127-134 [doi]
• Momentum Acceleration of Least-Squares Support Vector MachinesJorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro. 135-142 [doi]
• Fast Support Vector Training by Newton s MethodShigeo Abe. 143-150 [doi]
• Linear Operators and Stochastic Partial Differential Equations in Gaussian Process RegressionSimo Särkkä. 151-158 [doi]
• Learning from Multiple Annotators with Gaussian ProcessesPerry Groot, Adriana Birlutiu, Tom Heskes. 159-164 [doi]
• Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier SystemOmar Ayad, Moamar Sayed Mouchaweh, Patrice Billaudel. 165-172 [doi]
• A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator NetworksCesare Alippi, Giacomo Boracchi, Manuel Roveri. 173-180 [doi]
• Weighted Mutual Information for Feature SelectionErik Schaffernicht, Horst-Michael Gross. 181-188 [doi]
• Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature SelectionJukka-Pekka Kauppi, Heikki Huttunen, Heikki Korkala, Iiro P. Jääskeläinen, Mikko Sams, Jussi Tohka. 189-196 [doi]
• The Authentication System for Multi-modal Behavior Biometrics Using Concurrent Pareto Learning SOMHiroshi Dozono, Shinsuke Ito, Masanori Nakakuni. 197-204 [doi]
• Hermite Polynomials and Measures of Non-gaussianityJouni Puuronen, Aapo Hyvärinen. 205-212 [doi]
• Complex-Valued Independent Component Analysis of Natural ImagesValero Laparra, Michael Gutmann, Jesús Malo, Aapo Hyvärinen. 213-220 [doi]
• Improving Gaussian Process Value Function Approximation in Policy Gradient AlgorithmsHunor Jakab, Lehel Csató. 221-228 [doi]
• Application of Nonlinear Neural Network Model for Self Sensing Characteristic in an Ionic Polymer Metal Composite (IPMC) ActuatorNgoc Chi Nam Doan, Kyoung Kwan Ahn, Dinh Quang Truong, Jong Il Yoon. 229-236 [doi]
• Optimal Control Using Functional Type SIRMs Fuzzy Reasoning MethodTakashi Mitsuishi, Yasunari Shidama. 237-244 [doi]
• High-Dimensional SurveillanceSaylisse Dávila, George C. Runger, Eugene Tuv. 245-252 [doi]
• A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment ApplicationQingshan Liu, Jun Wang. 253-260 [doi]
• Neural Network Solution of Optimal Control Problem with Control and State ConstraintsTibor Kmet. 261-268 [doi]
• Singular Perturbation Approach with Matsuoka Oscillator and Synchronization PhenomenaYasuomi D. Sato, Kazuki Nakada, Kiyotoshi Matsuoka. 269-276 [doi]
• A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems -An Application to Chaos in a Dripping Faucet-Hiromichi Suetani, Shotaro Akaho. 277-284 [doi]
• Manifold Learning for Visualization of Vibrational States of a Rotating MachineIgnacio Díaz Blanco, Abel A. Cuadrado Vega, Alberto B. Diez, Manuel Domínguez-González. 285-292 [doi]
• Bias of Importance Measures for Multi-valued Attributes and SolutionsHoutao Deng, George C. Runger, Eugene Tuv. 293-300 [doi]
• A Computationally Efficient Information Estimator for Weighted DataHideitsu Hino, Noboru Murata. 301-308 [doi]
• Top-Down Induction of Reduced Ordered Decision Diagrams from Neural NetworksJan Chorowski, Jacek M. Zurada. 309-316 [doi]
• A Framework for Application-Oriented Design of Large-Scale Neural NetworksDavid Bouchain, Florian Hauser, Günther Palm. 317-324 [doi]
• A Dynamic Field Model of Ordinal and Timing Properties of Sequential EventsFlora Ferreira, Wolfram Erlhagen, Estela Bicho. 325-332 [doi]
• Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons ModelJunpei Zhong, Cornelius Weber, Stefan Wermter. 333-340 [doi]
• A Sentence Generation Network That Learns Surface and Abstract Syntactic StructuresMartin Takác, Lubica Benusková, Alistair Knott. 341-348 [doi]
• A Perceptual Memory System for Affordance Learning in Humanoid RobotsMarc Kammer, Marko Tscherepanow, Thomas Schack, Yukie Nagai. 349-356 [doi]
• Probabilistic Proactive Timeline BrowserAntti Ajanki, Samuel Kaski. 357-364 [doi]
• Person Tracking Based on a Hybrid Neural Probabilistic ModelWenjie Yan, Cornelius Weber, Stefan Wermter. 365-372 [doi]
• Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image TaggingHe Zhang, Teemu Ruokolainen, Jorma Laaksonen, Christina Hochleitner, Rudolf Traunmüller. 373-380 [doi]
• Modelling Hypothetical Wage Equation by Neural NetworksJaakko Talonen, Miki Sirola. 381-388 [doi]
• On the Designing of Spikes Band-Pass Filters for FPGAM. Domínguez-Morales, Angel Jiménez-Fernandez, E. Cerezuela-Escudero, Rafael Paz-Vicente, Alejandro Linares-Barranco, G. Jimenez. 389-396 [doi]
• An Information Geometrical View of Stationary Subspace AnalysisMotoaki Kawanabe, Wojciech Samek, Paul von Bünau, Frank C. Meinecke. 397-404 [doi]
• Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function NetworksKonsta Sirvio, Jaakko Hollmén. 405-412 [doi]
• Multistart Strategy Using Delta Test for Variable SelectionDusan Sovilj. 413-420 [doi]
• Speech Recognition Based on the Processing Solutions of Auditory CortexPatrick J. C. May, Hannu Tiitinen. 421-428 [doi]
• A Geometric Bio-inspired Model for Recognition of Low-Level StructuresE. Ulises Moya-Sánchez, Eduardo Vázquez-Santacruz. 429-436 [doi]
• View-Tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural GasesMarco Kortkamp, Sven Wachsmuth. 437-445 [doi]
• ANGE - Automatic Neural GeneratorLeonardo Reis, Luis Aguiar, Darío Baptista, Fernando Morgado Dias. 446-453 [doi]
• Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learningRicardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir. 454-461 [doi]
• Learning Scheme for Complex Neural Networks Using Simultaneous PerturbationYutaka Maeda, Takahiro Yamada, Seiji Miyoshi, Hiroomi Hikawa. 462-469 [doi]