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Neurocomputing, Volume 268
Volume 268, December 2017
- Fabio Aiolli, Gaëlle Bonnet-Loosli, Romain Hérault
:
Advances in artificial neural networks, machine learning and computational intelligence. 1-3
- Luca Oneto
Measuring the expressivity of graph kernels through Statistical Learning Theory. 4-16 - Mirko Polato
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation. 17-26 - Rocco Langone
Fast kernel spectral clustering. 27-33
- Alexander Schulz
Efficient kernelisation of discriminative dimensionality reduction. 34-41 - David Nebel, Marika Kaden, Andrea Villmann, Thomas Villmann:
Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning. 42-54
- Witali Aswolinskiy
Modelling of parametrized processes via regression in the model space of neural networks. 55-63 - Meriem El Azami, Carole Lartizien
Converting SVDD scores into probability estimates: Application to outlier detection. 64-75
- Eleni Tsironi, Pablo V. A. Barros
An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition. 76-86 - Claudio Gallicchio
Deep reservoir computing: A critical experimental analysis. 87-99
- Isaac Fernández-Varela
Combining machine learning models for the automatic detection of EEG arousals. 100-108 - Albert Pla
Bag-of-steps: Predicting lower-limb fracture rehabilitation length by weight loading analysis. 109-115
- Pantita Palittapongarnpim
Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics. 116-126 - Raúl V. Casaña Eslava, Ian H. Jarman, Paulo J. G. Lisboa, José David Martín-Guerrero
Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters. 127-141
- Alban Laflaquière:
Grounding the experience of a visual field through sensorimotor contingencies. 142-152
- Cagatay Turkay
Supporting theoretically-grounded model building in the social sciences through interactive visualisation. 153-163 - Dominik Sacha, Michael Sedlmair, Leishi Zhang
What you see is what you can change: Human-centered machine learning by interactive visualization. 164-175
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