Abstract is missing.
- Automatic Singular Spectrum Analysis for Time-Series DecompositionAndrés Marino Álvarez-Meza, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez. [doi]
- Regularization in relevance learning vector quantization using l1-normsMartin Riedel, Fabrice Rossi, Marika Kästner, Thomas Villmann. [doi]
- Developments in kernel designLluís Belanche. [doi]
- DYNG: Dynamic Online Growing Neural Gas for stream data classificationOliver Beyer, Philipp Cimiano. [doi]
- support vector machine-based aproach for multi-labelers problemsSantiago Murillo Rendón, Diego Hernán Peluffo-Ordóñez, Germán Castellanos-Domínguez. [doi]
- Multiple Kernel Self-Organizing MapsMadalina Olteanu, Nathalie Villa-Vialaneix, Christine Cierco-Ayrolles. [doi]
- Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysisValeri Tsatsishvili, Fengyu Cong, Tuomas Puoliväli, Vinoo Alluri, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi. [doi]
- Temperature Forecast in Buildings Using Machine Learning TechniquesFernando Mateo, Juan José Carrasco, Mónica Millán-Giraldo, Abderrahim Sellami, Pablo Escandell-Montero, José María Martínez-Martínez, Emilio Soria-Olivas. [doi]
- Neurally imprinted stable vector fieldsAndre Lemme, Klaus Neumann 0002, René Felix Reinhart, Jochen J. Steil. [doi]
- Learning control under uncertainty: A probabilistic Value-Iteration approachBastian Bischoff, Duy Nguyen-Tuong, Heiner Markert, Alois Knoll. [doi]
- Optimization by Variational BoundingJoe Staines, David Barber. [doi]
- Random Brains: An ensemble method for feature selection with neural networksMark J. Embrechts, Jonathan D. Linton, Jorge M. Santos. [doi]
- Handling missing values in kernel methods with application to microbiology dataVladimer Kobayashi, Tomàs Aluja, Lluís Belanche. [doi]
- Hierarchical Reinforcement Learning for Robot NavigationBastian Bischoff, Duy Nguyen-Tuong, I-Hsuan Lee, Felix Streichert, Alois Knoll. [doi]
- A nuclear-norm based convex formulation for informed source separationAugustin Lefèvre, François Glineur, Pierre-Antoine Absil. [doi]
- Binary particle swarm optimisation with improved scaling behaviourDenise Gorse. [doi]
- An empirical analysis of reinforcement learning using design of experimentsChristopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton. [doi]
- Machine Learning Techniques for Short-Term Electric Power Demand PredictionFernando Mateo, Juan José Carrasco, Mónica Millán-Giraldo, Abderrahim Sellami, Pablo Escandell-Montero, José María Martínez-Martínez, Emilio Soria-Olivas. [doi]
- A Public Domain Dataset for Human Activity Recognition using SmartphonesDavide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz. [doi]
- Content-based image retrieval with hierarchical Gaussian Process bandits with self-organizing mapsKsenia Konyushkova, Dorota Glowacka. [doi]
- Least-squares temporal difference learning based on extreme learning machinePablo Escandell-Montero, José María Martínez-Martínez, José David Martín-Guerrero, Emilio Soria-Olivas, Juan Gómez-Sanchís. [doi]
- Normalized cuts clustering with prior knowledge and a pre-clustering stageDiego Hernán Peluffo-Ordóñez, Andrés Eduardo Castro-Ospina, Diego Chavez-Chamorro, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez. [doi]
- Mixed order associative networks for function approximation, optimisation and samplingKevin Swingler, Leslie S. Smith. [doi]
- Sparse approximations for kernel learning vector quantizationDaniela Hofmann, Barbara Hammer. [doi]
- Robust cartogram visualization of outliers in manifold learningAlessandra Tosi, Alfredo Vellido. [doi]
- Analysis of Synaptic Weight Distribution in an Izhikevich NetworkLi Guo, Zhijun Yang, QingBao Zhu. [doi]
- Visualizing dependencies of spectral features using mutual informationAndrej Gisbrecht, Yoan Miché, Barbara Hammer, Amaury Lendasse. [doi]
- A One-Vs-One Classifier Ensemble With Majority Voting for Activity RecognitionBernardino Romera-Paredes, Min S. H. Aung, Nadia Bianchi-Berthouze. [doi]
- Perceptual grouping through competition in coupled oscillator networksMartin Meier, Robert Haschke, Helge Ritter. [doi]
- Research directions in interpretable machine learning modelsVanya Van Belle, Paulo Lisboa. [doi]
- Read classification for next generation sequencingJames Hogan, Peter Holland, Alex Holloway, Robert Petit, Timothy Read. [doi]
- Frequency-Dependent Peak-Over-Threshold algorithm for fault detection in the spectral domainAurélien Hazan, Kurosh Madani. [doi]
- A quotient basis kernel for the prediction of mortality in severe sepsis patientsVicent J. Ribas Ripoll, Enrique Romero, Juan Carlos Ruiz-Rodríguez, Alfredo Vellido. [doi]
- Novelty detection in image recognition using IRF Neural Networks propertiesPhilippe Smagghe, Jean-Luc Buessler, Jean-Philippe Urban. [doi]
- Detection and quantification in real-time polymerase chain reactionAbou Keita, Romain Hérault, Colas Calbrix, Stéphane Canu. [doi]
- Percolation model of axon guidanceGaetano Liborio Aiello, Valentino Romano. [doi]
- Semi-Supervised Vector Quantization for proximity dataXibin Zhu, Frank-Michael Schleif, Barbara Hammer. [doi]
- Multi-user Blood Alcohol Content estimation in a realistic simulator using Artificial Neural Networks and Support Vector MachinesAudrey Robinel, Didier Puzenat. [doi]
- Delaunay simplices pruning based clusteringOctavio Razafindramanana, Gilles Venturini. [doi]
- Efficient prediction of x-axis intercepts of discrete impedance spectraThomas Schmid, Dorothee Günzel, Martin Bogdan. [doi]
- Forecasting Financial Markets with Classified Tactical SignalsPatrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet. [doi]
- GA-KDE-Bayes: an evolutionary wrapper method based on non-parametric density estimation applied to bioinformatics problemsMaria Fernanda B. Wanderley, Vincent Gardeux, René Natowicz, Antônio de Pádua Braga. [doi]
- WIPS: the WiSARD Indoor Positioning SystemDouglas de O. Cardoso, João Gama, Massimo De Gregorio, Felipe M. G. França, Maurizio Giordano, Priscila M. V. Lima. [doi]
- Error entropy criterion in echo state network trainingLevy Boccato, Daniel G. Silva, Denis G. Fantinato, Kenji Nose Filho, Rafael Ferrari, Romis Attux, Aline Neves, Jugurta Montalvão, João Marcos Travassos Romano. [doi]
- A heterogeneous database for movement knowledge extraction in Parkinson's diseaseAlbert Samà, Carlos Pérez-López, Daniel Rodríguez Martín, Joan Cabestany, Juan-Manuel Moreno Aróstegui, Alejandro Rodríguez-Molinero. [doi]
- ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to ClusteringFilippo Pompili, Nicolas Gillis, François Glineur, Pierre-Antoine Absil. [doi]
- Automated operational states detection for drilling systems control in critical conditionsGalina V. Veres, Zoheir Sabeur. [doi]
- Sensitivity to parameter and data variations in dimensionality reduction techniquesFrancisco J. García-Fernández, Michel Verleysen, John Aldo Lee, Ignacio Díaz Blanco. [doi]
- Unsupervised non-linear neural networks capture aspects of floral choice behaviourLevente Orbán, Sylvain Chartier. [doi]
- Multi-scale Support Vector Machine Optimization by Kernel Target-AlignmentMaría Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez. [doi]
- Locally Weighted Least Squares Temporal Difference LearningMatthew Howard, Yoshihiko Nakamura. [doi]
- Feature Selection for Footwear Shape EstimationFernando Mateo, Mónica Millán-Giraldo, Juan José Carrasco, Enrique Montiel, José Antonio Bernabéu, José David Martín-Guerrero. [doi]
- Multi-view feature extraction for hyperspectral image classificationMichele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia. [doi]
- Machine Learning and Content-Based Multimedia RetrievalPhilippe Henri Gosselin, David Picard. [doi]
- Using Wikipedia with associative networks for document classificationNiels Bloom, Mariët Theune, Franciska de Jong. [doi]
- Non-Euclidean independent component analysis and Oja's learningMandy Lange, Michael Biehl, Thomas Villmann. [doi]
- Ensembles of genetically trained artificial neural networks for survival analysisJonas Kalderstam, Patrik Edén, Mattias Ohlsson. [doi]
- Activity Date Estimation in Timestamped Interaction NetworksFabrice Rossi, Pierre Latouche. [doi]
- Learning associative spatiotemporal features with non-negative sparse codingThomas Guthier, Steve Gerges, Volker Willert, Julian Eggert. [doi]
- Decoding stimulation intensity from evoked ECoG activity using support vector regressionArmin Walter, Georgios Naros, Martin Spüler, Alireza Gharabaghi, Wolfgang Rosenstiel, Martin Bogdan. [doi]
- Risk Estimation and Feature SelectionGauthier Doquire, Benoît Frénay, Michel Verleysen. [doi]
- ManiSonS: A New Visualization Tool for Manifold ClusteringJosé María Martínez-Martínez, Pablo Escandell-Montero, José David Martín-Guerrero, Joan Vila-Francés, Emilio Soria-Olivas. [doi]
- Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive EnvironmentsJorge Luis Reyes-Ortiz, Alessandro Ghio, Xavier Parra, Davide Anguita, Joan Cabestany, Andreu Català. [doi]
- Hierarchical and multiscale Mean Shift segmentation of population gridsJohanna Baro, Etienne Côme, Patrice Aknin, Olivier Bonin. [doi]
- Efficient VLSI Architecture for Spike Sorting Based on Generalized Hebbian AlgorithmWen-Jyi Hwang, Hao Chen. [doi]
- A distributed wrapper approach for feature selectionVerónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos. [doi]
- Synthetic over-sampling in the empirical feature spaceMaría Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez. [doi]
- Optimization of Gaussian process hyperparameters using RpropManuel Blum, Martin Riedmiller. [doi]
- Are Rosenblatt multilayer perceptrons more powerfull than sigmoidal multilayer perceptrons? From a counter example to a general resultJosé Fonseca. [doi]
- Sensor Positioning for Activity Recognition Using Multiple Accelerometer-Based SensorsLei Gao, Alan Bourke, John Nelson. [doi]
- A sparse kernelized matrix learning vector quantization model for human activity recognitionMarika Kästner, Marc Strickert, Thomas Villmann. [doi]
- Long term analysis of daily activities in smart homeLabiba Gillani Fahad, Arshad Ali, Muttukrishnan Rajarajan. [doi]
- Border sensitive fuzzy vector quantization in semi-supervised learningTina Geweniger, Marika Kästner, Thomas Villmann. [doi]
- B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural ClassifierDanilo S. Carvalho, Hugo C. C. Carneiro, Felipe M. G. França, Priscila M. V. Lima. [doi]
- Dynamic Placement with Connectivity for RSNs based on a Primal-Dual Neural NetworkRafael Lima de Carvalho, Lunlong Zhong, Felipe M. G. França, Félix Mora-Camino. [doi]
- Fast online adaptivity with policy gradient: example of the BCI "P300"-spellerEmmanuel Daucé, Timothée Proix, Liva Ralaivola. [doi]
- Network community detection with edge classifiers trained on LFR graphsTwan van Laarhoven, Elena Marchiori. [doi]
- A dictionary learning based method for aCGH segmentationSalvatore Masecchia, Saverio Salzo, Annalisa Barla, Alessandro Verri. [doi]
- Bayesian non parametric inference of discrete valued networksLaetitia Nouedoui, Pierre Latouche. [doi]
- Cost-sensitive cascade graph neural networksVan Tuc Nguyen, Ah Chung Tsoi, Markus Hagenbuchner. [doi]
- Soft rank neighbor embeddingsMarc Strickert, Kerstin Bunte. [doi]
- Evolutionary computation based system decomposition with neural networksRobert Kaltenhaeuser, Erik Schaffernicht, Frank-Florian Steege, Horst-Michael Gross. [doi]
- Auto-encoder pre-training of segmented-memory recurrent neural networksStefan Glüge, Ronald Böck, Andreas Wendemuth. [doi]
- A Learning Machine with a Bit-Based Hypothesis SpaceDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. [doi]
- Learning regression models with guaranteed error boundsClemens Otte. [doi]
- Linear spectral hashingZalán Bodó, Lehel Csató. [doi]
- A new metric for dissimilarity data classification based on Support Vector Machines optimizationAgata Manolova, Anne Guérin-Dugué. [doi]
- A competitive approach for human activity recognition on smartphonesAttila Reiss, Gustaf Hendeby, Didier Stricker. [doi]
- Ensembles for Continuous Actions in Reinforcement LearningSiegmund Duell, Steffen Udluft. [doi]
- Processing Hyperspectral Data in Machine LearningThomas Villmann, Marika Kästner, Andreas Backhaus, Udo Seiffert. [doi]
- Prior knowledge in an end-user trainable machine vision frameworkKlaas Dijkstra, Walter Jansen, Jaap van de Loosdrecht. [doi]
- Visualizing pay-per-view television customers churn using cartograms and flow mapsDavid L. García, Àngela Nebot, Alfredo Vellido. [doi]
- Clustering the Vélib' origin-destinations flows by means of Poisson mixture modelsAndry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert. [doi]