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- W1970093731 abstract "Artificial neural networks are simple and efficient machine learning tools. Defined originally in the traditional setting of simple vector data, neural network models have evolved to address more and more difficulties of complex real world problems, ranging from time evolving data to sophisticated data structures such as graphs and functions. This paper summarizes advances on those themes from the last decade, with a focus on results obtained by members of the SAMM team of Universit'e Paris 1" @default.
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- W1970093731 date "2012-05-16" @default.
- W1970093731 modified "2023-10-14" @default.
- W1970093731 title "Neural Networks for Complex Data" @default.
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- W1970093731 doi "https://doi.org/10.1007/s13218-012-0207-2" @default.
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