From the 1 of 2.7k papers with an AI index.
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7 papers · 2 filters
Optimising the topology of complex neural networks
Fei Jiang, Hugues Berry, Marc Schoenauer
In this paper, we study instances of complex neural networks, i.e. neural netwo rks with complex topologies. We use Self-Organizing Map neural networks whose n eighbourhood relatio…
Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis
Fabrice Rossi, Brieuc Conan-Guez
In this paper, we study a natural extension of Multi-Layer Perceptrons (MLP) to functional inputs. We show that fundamental results for classical MLP can be extended to functional…
Representation of Functional Data in Neural Networks
Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez +1
Functional Data Analysis (FDA) is an extension of traditional data analysis to functional data, for example spectra, temporal series, spatio-temporal images, gesture recognition da…
Self-organizing maps and symbolic data
Aïcha El Golli, Brieuc Conan-Guez, Fabrice Rossi
In data analysis new forms of complex data have to be considered like for example (symbolic data, functional data, web data, trees, SQL query and multimedia data, ...). In this con…
Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités
Aïcha El Golli, Fabrice Rossi, Brieuc Conan-Guez +1
Many data analysis methods cannot be applied to data that are not represented by a fixed number of real values, whereas most of real world observations are not readily available in…
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps
Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Golli
In many real world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable sensi…