Abstract is missing.
- Support Vector Ordinal Regression using Privileged InformationFengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen. [doi]
- Segmented shape-symbolic time series representationHerbert Teun Kruitbosch, Ioannis Giotis 0002, Michael Biehl. [doi]
- A new model selection approach for the ELM network using metaheuristic optimizationAnanda Freire, Guilherme Barreto. [doi]
- Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networksHelon V. H. Ayala, Luciano F. da Cruz, Leandro dos Santos Coelho, Roberto Zanetti Freire. [doi]
- Extreme learning machines for Internet traffic classificationJoseph Ghafari, Emmanuel Herbert, Stéphane Sénécal, Daniel Migault, Stanislas Francfort, Ting Liu. [doi]
- Machine learning techniques to assess the performance of a gait analysis systemSébastien Piérard, Rémy Phan-Ba, Marc Van Droogenbroeck. [doi]
- Electric load forecasting using wavelet transform and extreme learning machineSong Li, Peng Wang, Lalit Goel. [doi]
- Proximity learning for non-standard big dataFrank-Michael Schleif. [doi]
- Supervised Generative Models for Learning Dissimilarity DataDavid Nebel, Barbara Hammer, Thomas Villmann. [doi]
- Improving accuracy by reducing the importance of hubs in nearest-neighbor recommendationsFrançois Fouss, Clémentine Van Parijs. [doi]
- Implicitly and explicitly constrained optimization problems for training of recurrent neural networksCarl-Johan Thore. [doi]
- Toward parallel feature selection from vertically partitioned dataVerónica Bolón-Canedo, Noelia Sánchez-Maroño, Joana Cerviño-Rabuñal. [doi]
- Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector QuantizationMandy Lange, Dietlind Zühlke, Olaf Holz, Thomas Villmann. [doi]
- The one-sided mean kernel: a positive definite kernel for time seriesNicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës, Fabrice Ferrand. [doi]
- reject option paradigm for the reduction of support vectorsRicardo Sousa, Ajalmar R. da Rocha Neto, Guilherme A. Barreto, Jaime S. Cardoso, Miguel T. Coimbra. [doi]
- Selective Neural Network Ensembles in Reinforcement LearningStefan Faußer, Friedhelm Schwenker. [doi]
- Self-organizing map for determination of goal candidates in mobile robot explorationJan Faigl, Peter Vanìk, Miroslav Kulich. [doi]
- Learning and modeling big dataBarbara Hammer, Haibo He, Thomas Martinetz. [doi]
- On the complexity of shallow and deep neural network classifiersMonica Bianchini, Franco Scarselli. [doi]
- Spiking AGRELDavide Zambrano, Jaldert O. Rombouts, Cecilia Laschi, Sander M. Bohte. [doi]
- Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-spellerEmmanuel Daucé, Eoin M. Thomas. [doi]
- Dynamic ensemble selection and instantaneous pruning for regressionKaushala Dias, Terry Windeatt. [doi]
- Misclassification of class C G-protein-coupled receptors as a label noise problemCaroline König, Alfredo Vellido Alcacena, René Alquézar Mancho, Jesús Giraldo. [doi]
- Recent trends in learning of structured and non-standard dataFrank-Michael Schleif, Peter Tiño, Thomas Villmann. [doi]
- Feature selection in environmental data mining combining Simulated Annealing and Extreme Learning MachineMichael Leuenberger, Mikhail F. Kanevski. [doi]
- Advances on Weightless Neural SystemsMassimo De Gregorio, Felipe M. G. França, Priscila M. V. Lima, Wilson Rosa de Oliveira. [doi]
- Parameter-free regularization in Extreme Learning Machines with affinity matricesLeonardo Silvestre, André Paim Lemos, João Pedro Braga, Antônio de Pádua Braga. [doi]
- Can you follow that guy?Mariacarla Staffa, Massimo De Gregorio, Maurizio Giordano, Silvia Rossi. [doi]
- Mobility Prediction Using Fully-Complex Extreme Learning MachinesLahouari Ghouti. [doi]
- Learning resets of neural working memoryJaldert O. Rombouts, Pieter R. Roelfsema, Sander M. Bohte. [doi]
- Improved Cat Swarm Optimization approach applied to reliability-redundancy problemCarlos Eduardo Klein, Leandro dos Santos Coelho, Ângelo M. O. Sant'Anna, Roberto Zanetti Freire, Viviana Cocco Mariani. [doi]
- A Random Forest proximity matrix as a new measure for gene annotationJosé A. Seoane, Ian N. M. Day, Juan P. Casas, Colin Campbell, Tom R. Gaunt. [doi]
- Towards an effective multi-map self organizing recurrent neuronal networkDenis Baheux, Hervé Frezza-Buet, Jérémy Fix. [doi]
- Byte The Bullet: Learning on Real-World Computing ArchitecturesAlessandro Ghio, Luca Oneto. [doi]
- A new biologically plausible supervised learning method for spiking neuronsAbouzar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire. [doi]
- Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysisSamir Azrour, Sébastien Piérard, Pierre Geurts, Marc Van Droogenbroeck. [doi]
- Extracting rules from DRASiW's "mental images"Paulo Coutinho, Hugo C. C. Carneiro, Danilo S. Carvalho, Felipe M. G. França. [doi]
- Finding Originally Mislabels with MD-ELMAnton Akusok, David Veganzones, Yoan Miché, Eric Séverin, Amaury Lendasse. [doi]
- Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reductionJohn Aldo Lee, Diego Hernán Peluffo-Ordóñez, Michel Verleysen. [doi]
- Credit analysis with a clustering RAM-based neural classifierDouglas de O. Cardoso, Danilo S. Carvalho, Daniel S. F. Alves, Diego Souza, Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Priscila M. V. Lima, Felipe M. G. França. [doi]
- Utilization of Chemical Structure Information for Analysis of Spectra CompositesKristin Domaschke, André Roßberg, Thomas Villmann. [doi]
- Training a classical weightless neural network in a quantum computerAdenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir. [doi]
- Speedy greedy feature selection: Better redshift estimation via massive parallelismFabian Gieseke, Kai Lars Polsterer, Cosmin Eugen Oancea, Christian Igel. [doi]
- Enhanced NMF initialization using a physical model for pollution source apportionmentMarc Plouvin, Abdelhakim Limem, Matthieu Puigt, Gilles Delmaire, Gilles Roussel, Dominique Courcot. [doi]
- Probabilistic automata simulation with single layer weightless neural networksAdenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir. [doi]
- A robust regularization path for the Doubly Regularized Support Vector MachineAntoine Lachaud, Stéphane Canu, David Mercier, Frederic Suard. [doi]
- Choosing the Metric in High-Dimensional Spaces Based on Hub AnalysisDominik Schnitzer, Arthur Flexer. [doi]
- Application of Newton's Method to action selection in continuous state- and action-space reinforcement learningBarry D. Nichols, Dimitris C. Dracopoulos. [doi]
- Optimal Data Projection for Kernel Spectral ClusteringDiego Hernán Peluffo-Ordóñez, Carlos Alzate, Johan A. K. Suykens, Germán Castellanos-Domínguez. [doi]
- Supporting GNG-based clustering with local input space histogramsJochen Kerdels, Gabriele Peters. [doi]
- Recent methods for dimensionality reduction: A brief comparative analysisDiego Hernán Peluffo-Ordóñez, John Aldo Lee, Michel Verleysen. [doi]
- Fine-tuning of support vector machine parameters using racing algorithmsPéricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio. [doi]
- Predicting Grain Protein Content of Winter WheatMajdi Mansouri, Marie-France Destain, Benjamin Dumont. [doi]
- Weighted tree kernels for sequence analysisChristopher Bowles, James Hogan. [doi]
- Joint SVM for Accurate and Fast Image TaggingHanchen Xiong, Sándor Szedmák, Justus H. Piater. [doi]
- Interactive dimensionality reduction for visual analyticsIgnacio Díaz Blanco, Abel A. Cuadrado Vega, Daniel Pérez-López, Francisco J. García-Fernández, Michel Verleysen. [doi]
- A comprehensive introduction to label noiseBenoît Frénay, Ata Kabán. [doi]
- Lightning fast asynchronous distributed k-means clusteringÁrpád Berta, István Hegedüs, Róbert Ormándi. [doi]
- Adaptive distance measures for sequential dataBassam Mokbel, Benjamin Paaßen, Barbara Hammer. [doi]
- Modeling consumption of contents and advertising in online newspapersIago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos. [doi]
- An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing MapsMarta Kolasa, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz. [doi]
- Comparison of local and global undirected graphical modelsZhemin Zhu, Djoerd Hiemstra, Peter M. G. Apers, Andreas Wombacher. [doi]
- Region of interest detection using MLPTommi Kärkkäinen, Alexandr Maslov, Pekka Wartiainen. [doi]
- DELA: A Dynamic Online Ensemble Learning AlgorithmHamid Bouchachia, Emili Balaguer-Ballester. [doi]
- Ensembles of extreme learning machine networks for value predictionPablo Escandell-Montero, José María Martínez-Martínez, Emilio Soria-Olivas, Joan Vila-Francés, José David Martín-Guerrero. [doi]
- A HMM-based pre-training approach for sequential dataLuca Pasa, Alberto Testolin, Alessandro Sperduti. [doi]
- Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector RegressionKonsta Sirvio, Jaakko Hollmén. [doi]
- A new approach for multiple instance learning based on a homogeneity bag operatorAlexandre Wagner Chagas Faria, David Menotti, André Paim Lemos, Antônio de Pádua Braga. [doi]
- Context- and cost-aware feature selection in ultra-low-power sensor interfacesSteven Lauwereins, Komail Badami, Wannes Meert, Marian Verhelst. [doi]
- An Extreme Learning Approach to Active LearningEuler G. Horta, Antônio de Pádua Braga. [doi]
- Discrimination of visual pedestrians data by combining projection and prediction learningMathieu Lefort, Alexander Gepperth. [doi]
- Improving the firefly algorithm through the Barnes-Hut tree codeKiril Ralinovski. [doi]
- Learning predictive partitions for continuous feature spacesBjörn Weghenkel, Laurenz Wiskott. [doi]
- Agglomerative hierarchical kernel spectral clustering for large scale networksRaghvendra Mall, Rocco Langone, Johan A. K. Suykens. [doi]
- An application of the temporal difference algorithm to the truck backer-upper problemChristopher J. Gatti, Mark J. Embrechts. [doi]
- Naive Augmenting Q-Learning to Process Feature-Based Representations of StatesJanis Zuters. [doi]
- Learning with few bits on small-scale devices: From regularization to energy efficiencyDavide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella. [doi]
- Credal decision trees in noisy domainsCarlos Javier Mantas, Joaquín Abellán. [doi]
- Improving the Robustness of Bagging with Reduced Sampling SizeMaryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez. [doi]
- Sparse one hidden layer MLPsAlberto Torres, David Díaz, José R. Dorronsoro. [doi]
- Reweighted l1 Dual Averaging Approach for Sparse Stochastic LearningVilen Jumutc, Johan A. K. Suykens. [doi]
- The Sum-over-Forests clusteringMathieu Senelle, Marco Saerens, François Fouss. [doi]
- FINGeR: Framework for interactive neural-based gesture recognitionGerman Ignacio Parisi, Pablo Barros, Stefan Wermter. [doi]
- An adjustable p-exponential clustering algorithmValmir Macário Filho, Francisco de Assis Tenório de Carvalho. [doi]
- Bayesian non-parametric parsimonious clusteringFaicel Chamroukhi, Marius Bartcus, Hervé Glotin. [doi]
- Kernel methods for mixed feature selectionJérôme Paul, Pierre Dupont. [doi]
- Direct Model-Predictive ControlJean-Joseph Christophe, Jérémie Decock, Olivier Teytaud. [doi]
- Capturing confounding sources of variation in DNA methylation data by spatiotemporal independent component analysisEmilie Renard, Andrew E. Teschendorff, Pierre-Antoine Absil. [doi]
- Spiking Neural Networks: Principles and ChallengesAndré Grüning, Sander M. Bohte. [doi]
- Vector space weightless neural networksWilson Rosa de Oliveira, Adenilton J. da Silva, Teresa Bernarda Ludermir. [doi]
- Analysis of the Weighted Fuzzy C-means in the problem of source locationEverton Z. Nadalin, Rodrigo C. Silva, Romis Attux, João M. T. Romano. [doi]
- Beyond histograms: why learned structure-preserving descriptors outperform HOGThomas Guthier, Volker Willert, Julian Eggert. [doi]
- Meta Online Learning: Experiments on a Unit Commitment ProblemJialin Liu, Olivier Teytaud. [doi]
- Using Shannon Entropy as EEG Signal Feature for Fast Person IdentificationDinh Phung, Dat Tran, Wanli Ma, Phuoc Nguyen, Tien Pham. [doi]
- Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits ProblemSaba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick. [doi]
- Online tracking of multiple objects using WiSARDRafael Lima de Carvalho, Danilo S. Carvalho, Priscila M. V. Lima, Félix Mora-Camino, Felipe M. G. França. [doi]
- Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector QuantizationMarika Kaden, Wieland Hermann, Thomas Villmann. [doi]
- Robust outlier detection with L0-SVDDMeriem El Azami, Carole Lartizien, Stéphane Canu. [doi]
- NMF-Density: NMF-Based Breast Density ClassifierLahouari Ghouti, Abdullah Owaidh. [doi]
- Classifying Patterns in a Spiking Neural NetworkBrian Gardner, André Grüning. [doi]
- Tensor decomposition of dense SIFT descriptors in object recognitionTan Vo, Dat Tran, Wanli Ma. [doi]
- Neural network based 2D/3D fusion for robotic object recognitionLouis-Charles Caron, Yang Song, David Filliat, Alexander Gepperth. [doi]
- Exploiting similarity in system identification tasks with recurrent neural networksSigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler. [doi]
- Relevance Learning for Dimensionality ReductionAlexander Schulz, Andrej Gisbrecht, Barbara Hammer. [doi]
- The Choquet kernel for monotone dataAli Fallah Tehrani, Marc Strickert, Eyke Hüllermeier. [doi]
- Learning state prediction using a weightless neural explorerIgor Aleksander, Helen Morton. [doi]
- Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzersJérôme Fellus, David Picard, Philippe Henri Gosselin. [doi]
- A New Error-Correcting Syndrome Decoder with Retransmit Signal Implemented with an Hardlimit Neural NetworkJosé Fonseca. [doi]
- Easy multiple kernel learningFabio Aiolli, Michele Donini. [doi]
- Toward STDP-based population action in large networks of spiking neuronsEmmanuel Daucé. [doi]
- Augmented hashing for semi-supervised scenariosZalán Bodó, Lehel Csató. [doi]
- A multi-class extension for multi-labeler support vector machinesDiego Hernán Peluffo-Ordóñez, Santiago Murillo Rendón, Julián D. Arias-Londoño, Germán Castellanos-Domínguez. [doi]
- Iterative ARIMA-multiple support vector regression models for long term time series predictionJoão F. L. Oliveira, Teresa Bernarda Ludermir. [doi]
- Rejection strategies for learning vector quantizationLydia Fischer, Barbara Hammer, Heiko Wersing. [doi]