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ORCIDNeurocomputing, Volume 112
Volume 112, July 2013
- Alessio Micheli
, Frank-Michael Schleif, Peter Tiño:
Novel approaches in machine learning and computational intelligence. 1-3
- Enrique Pelayo, J. David Buldain Pérez, Carlos Orrite:
Magnitude Sensitive Competitive Learning. 4-18 - Lluís A. Belanche Muñoz, Alessandra Tosi:
Averaging of kernel functions. 19-25 - Klaus Neumann, C. Strub, Jochen Jakob Steil:
Intrinsic plasticity via natural gradient descent with application to drift compensation. 26-33 - Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
An input-output hidden Markov model for tree transductions. 34-46 - Christian Emmerich, René Felix Reinhart, Jochen Jakob Steil:
Multi-directional continuous association with input-driven neural dynamics. 47-57 - Peter Tiño, Ali Rodan:
Short term memory in input-driven linear dynamical systems. 58-63
- Benoît Frénay, Gauthier Doquire, Michel Verleysen:
Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification. 64-78 - Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa:
A principled approach to network-based classification and data representation. 79-91 - John Aldo Lee, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen:
Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. 92-108 - Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Barbara Hammer:
Visualizing the quality of dimensionality reduction. 109-123
- Ali Faisal, Jussi Gillberg, Gayle Leen, Jaakko Peltonen:
Transfer learning using a nonparametric sparse topic model. 124-137 - Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
On distributed online classification in the midst of concept drifts. 138-152 - Faicel Chamroukhi, Hervé Glotin, Allou Samé:
Model-based functional mixture discriminant analysis with hidden process regression for curve classification. 153-163 - Julien Jacques, Cristian Preda:
Funclust: A curves clustering method using functional random variables density approximation. 164-171
- Alexandre Barachant, Stéphane Bonnet, Marco Congedo, Christian Jutten:
Classification of covariance matrices using a Riemannian-based kernel for BCI applications. 172-178 - Andre Lemme, Ananda Freire, Guilherme A. Barreto, Jochen J. Steil:
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. 179-188 - Jan Lachmair, Erzsébet Merényi, Mario Porrmann, Ulrich Rückert:
A reconfigurable neuroprocessor for self-organizing feature maps. 189-199 - Vanya Van Belle, Patrick Neven, Vernon Harvey, Sabine Van Huffel, Johan A. K. Suykens, Stephen P. Boyd:
Risk group detection and survival function estimation for interval coded survival methods. 200-210
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