Table of Contents

• A Spectral Based Clustering Algorithm for Categorical Data with Maximum ModularityLazhar Labiod, Younès Bennani. [doi]
• Patch Affinity PropagationXibin Zhu, Barbara Hammer. [doi]
• The role of Fisher information in primary data space for neighbourhood mappingHéctor Ruiz, Ian H. Jarman, José D. Martín, Paulo J. G. Lisboa. [doi]
• Thresholds tuning of a neuro-symbolic net controlling a behavior-based robotic systemMariacarla Staffa, Silvia Rossi, Massimo De Gregorio, Ernesto Burattini. [doi]
• Adaptive Kernel Smoothing Regression for Spatio-Temporal Environmental DatasetsFederico Montesino-Pouzols, Amaury Lendasse. [doi]
• Identification of sparse spatio-temporal features in Evoked Response PotentialsNisrine Jrad, Marco Congedo. [doi]
• Abstract category learningAtsushi Hashimoto, Haruo Hosoya. [doi]
• Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series dataJérôme Lapuyade-Lahorgue, Ali Mohammad-Djafari. [doi]
• Clustering data streams with weightless neural networksDouglas de O. Cardoso, Priscila M. V. Lima, Massimo De Gregorio, João Gama, Felipe M. G. França. [doi]
• A structure independent algorithm for causal discoveryTom Claassen, Tom Heskes. [doi]
• Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and VisualizationKerstin Bunte, Frank-Michael Schleif, Sven Haase, Thomas Villmann. [doi]
• A Similarity Function with Local Feature Weighting for Structured DataRubén Suárez, Rocío García-Durán, Fernando Fernández. [doi]
• Mutual information based feature selection for mixed dataGauthier Doquire, Michel Verleysen. [doi]
• A Multi-kernel Framework for Inductive Semi-supervised LearningXilan Tian, Gilles Gasso, Stéphane Canu. [doi]
• Growing Hierarchical Sectors on SectorsJosé M. Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José D. Martín, Juan Gómez, Joan Vila-Francés. [doi]
• Increased robustness and intermittent dynamics in structured Reservoir Networks with feedbackSarah Jarvis, Stefan Rotter, Ulrich Egert. [doi]
• Training of multiple classifier systems utilizing partially labeled sequential data setsMartin Schels, Patrick Schillinger, Friedhelm Schwenker. [doi]
• Multivariate class labeling in Robust Soft LVQPetra Schneider, Tina Geweniger, Frank-Michael Schleif, Michael Biehl, Thomas Villmann. [doi]
• Non-linearly increasing resampling in racing algorithmsVerena Heidrich-Meisner, Christian Igel. [doi]
• Symbolic computing of LS-SVM based modelsSiamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens. [doi]
• Principal component analysis for unsupervised calibration of bio-inspired airflow array sensorsMichiel Van Dyck, Herbert Peremans. [doi]
• Class-Specific Feature Selection for One-Against-All Multiclass SVMsGael de Lannoy, Damien François, Michel Verleysen. [doi]
• SO-VAT: Self-Organizing Visual Assessment of cluster Tendency for large data setsEnrique Pelayo, Carlos Orrite-Uruñuela, J. David Buldain Pérez. [doi]
• Multi-Goal Path Planning Using Self-Organizing Map with Navigation FunctionsJan Faigl, Jan Macák. [doi]
• Multi-class classification in the presence of labelling errorsJakramate Bootkrajang, Ata Kaban. [doi]
• Maximal Discrepancy vs. Rademacher Complexity for error estimationDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. [doi]
• Effects of sparseness and randomness of pairwise distance matrix on t-SNE resultsEli Parviainen. [doi]
• Exploiting vertices states in GraphESN by weighted nearest neighborClaudio Gallicchio, Alessio Micheli. [doi]
• Automatic Enhancement of Correspondence Detection in an Object Tracking SystemDenis Schulze, Sven Wachsmuth, Katharina J. Rohlfing. [doi]
• Fisherman learning algorithm of the SOM realized in the CMOS technologyRafal Dlugosz, Marta Kolasa, Witold Pedrycz. [doi]
• Causal relevance learning for robust classification under interventionsErnest Mwebaze, John A. Quinn, Michael Biehl. [doi]
• Single-trial P300 detection with Kalman filtering and SVMsLucie Daubigney, Olivier Pietquin. [doi]
• Inferring the causal decomposition under the presence of deterministic relationsJan Lemeire, Stijn Meganck, Francesco Cartella, Tingting Liu, Alexander R. Statnikov. [doi]
• Using very deep autoencoders for content-based image retrievalAlex Krizhevsky, Geoffrey E. Hinton. [doi]
• Fast Data Mining with Sparse Chemical Graph Fingerprints by Estimating the Probability of Unique PatternsGeorg Hinselmann, Lars Rosenbaum, Andreas Jahn, Andreas Zell. [doi]
• Multispectral image characterization by partial generalized covarianceMarc Strickert, Björn Labitzke, Andreas Kolb, Thomas Villmann. [doi]
• Mutual information for feature selection with missing dataGauthier Doquire, Michel Verleysen. [doi]
• A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequencesAlfredo Vellido, Martha Ivón Cárdenas, Iván Olier, Xavier Rovira, Jesús Giraldo. [doi]
• Communication Challenges in Cloud K-meansFabrice Rossi, Matthieu Durut. [doi]
• Recent trends in computational intelligence in life sciencesUdo Seiffert, Frank-Michael Schleif, Dietlind Zühlke. [doi]
• General bound of overfitting for MLP regression modelsJoseph Rynkiewicz. [doi]
• Seeing is believing: The importance of visualization in real-world machine learning applicationsAlfredo Vellido, José D. Martín, Fabrice Rossi, Paulo J. G. Lisboa. [doi]
• Classifying mental states with machine learning algorithms using alpha activity declineCarina Walter, Gabriele Cierniak, Peter Gerjets, Wolfgang Rosenstiel, Martin Bogdan. [doi]
• Analysis of a Reinforcement Learning algorithm using Self-Organizing MapsVicente Buendia-Ramon, Emilio Soria-Olivas, José D. Martín, Pablo Escandell-Montero, José M. Martínez. [doi]
• Visual place recognition using Bayesian filtering with Markov chainsMathieu Dubois, Hervé Guillaume, Emmanuelle Frenoux, Philippe Tarroux. [doi]
• Negatively Correlated Echo State NetworksAli Rodan, Peter Tiño. [doi]
• Stability of Neural Network Control for Uncertain Sampled-Data SystemsPornchai Khlaeo-om, Sasikanchana Yenaeng, Sunya Pasuk, Supachai Aroonpun, Sompun Aumpawan. [doi]
• Statistical properties of the 'Hopfield estimator' of dynamical systemsMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós. [doi]
• Iterative multi-task sequence labeling for predicting structural properties of proteinsFrancis Maes, Julien Becker, Louis Wehenkel. [doi]
• Reservoir regularization stabilizes learning of Echo State Networks with output feedbackRené Felix Reinhart, Jochen J. Steil. [doi]
• Time Experiencing by Robotic AgentsMichail Maniadakis, Marc Wittmann, Panos E. Trahanias. [doi]
• A supervised strategy for deep kernel machineFlorian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy. [doi]
• A post-processing strategy for SVM learning from unbalanced dataHaydemar Núñez, Luis González Abril, Cecilio Angulo. [doi]
• Probabilistic Fisher discriminant analysisCharles Bouveyron, Camille Brunet. [doi]
• A constraint-based approach to incorporate prior knowledge in causal modelsGiorgos Borboudakis, Sofia Triantafilou, Vincenzo Lagani, Ioannis Tsamardinos. [doi]
• Optimization of Parametrized Divergences in Fuzzy c-MeansTina Geweniger, Marika Kästner, Thomas Villmann. [doi]
• Sparse LS-SVMs with L0 - norm minimizationJorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens. [doi]
• Learning of causal relationsJohn A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl. [doi]
• Training RBMs based on the signs of the CD approximation of the log-likelihood derivativesAsja Fischer, Christian Igel. [doi]
• Statistical dependence measure for feature selection in microarray datasetsVerónica Bolón-Canedo, Sohan Seth, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Jose C. Principe. [doi]
• A brief tutorial on reinforcement learning: The game of Chung ToiChristopher J. Gatti, Jonathan D. Linton, Mark J. Embrechts. [doi]
• Hierarchical clustering for graph visualizationStéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran. [doi]
• Anticipating Rewards in Continuous Time and Space with Echo State Networks and Actor-Critic DesignMohamed Oubbati. [doi]
• Ensemble Usage for More Reliable Policy Identification in Reinforcement LearningAlexander Hans, Steffen Udluft. [doi]
• Application of stochastic recurrent reinforcement learning to index tradingDenise Gorse. [doi]
• A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithmsDiego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero. [doi]
• Selecting from an infinite set of features in SVMRémi Flamary, Florian Yger, Alain Rakotomamonjy. [doi]
• New conditioning model for robotsJean Marc Salotti. [doi]
• A Neural Filter for Electrolocation in Weakly Electric FishDaeEun Kim. [doi]
• Locating Anomalies Using Bayesian Factorizations and MasksLi Yao, Amaury Lendasse, Francesco Corona. [doi]
• An Introduction to Deep LearningLudovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy. [doi]
• Comparison of the Complex Valued and Real Valued Neural Networks Trained with Gradient Descent and Random Search AlgorithmsHans-Georg Zimmermann, Alexey Minin, Victoria Kusherbaeva. [doi]
• Information theory related learningThomas Villmann, José C. Príncipe, Andrzej Cichocki. [doi]
• Unsupervised feature selection for sparse dataArtur J. Ferreira, Mário A. T. Figueiredo. [doi]
• Generalized functional relevance learning vector quantizationMarika Kästner, Barbara Hammer, Michael Biehl, Thomas Villmann. [doi]
• Hybrid HMM and HCRF model for sequence classificationYann Soullard, Thierry Artières. [doi]
• Approaches for Automatic Speaker Recognition in a Binaural Humanoid ContextKarim Youssef, Bastien Breteau, Sylvain Argentieri, Jean-Luc Zarader, Zefeng Wang. [doi]
• Sparsity Issues in Self-Organizing-Maps for StructuresMarkus Hagenbuchner, Giovanni Da San Martino, Ah Chung Tsoi, Alessandro Sperduti. [doi]
• D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environmentAyres Roberto Araújo Barcelos, Rita Maria da Silva Julia, Rivalino Matias Júnior. [doi]
• A unified approach to estimation and control of the False Discovery Rate in Bayesian network skeleton identificationAngelos P. Armen, Ioannis Tsamardinos. [doi]
• Supervised dimension reduction mappingsKerstin Bunte, Michael Biehl, Barbara Hammer. [doi]