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Communication Dans Un Congrès Année : 2012

Kernels for time series of exponential decay/growth processes

Résumé

Many processes exhibit exponential behavior. When kernel-based machines are applied on this type of data, conventional kernels such as the Gaussian kernel are not appropriate. In this paper, we derive kernels adapted to time series of exponential decay or growth processes. We provide a theoretical study of these kernels, including the issue of universality. Experimental results are given on a case study: chlorine decay in water distribution systems.
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Dates et versions

hal-01966020 , version 1 (04-01-2019)

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Zineb Noumir, Paul Honeine, Cédric Richard. Kernels for time series of exponential decay/growth processes. Proc. 22nd IEEE workshop on Machine Learning for Signal Processing (MLSP), 2012, Santander, Spain. pp.1-6, ⟨10.1109/MLSP.2012.6349753⟩. ⟨hal-01966020⟩
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