EnhanceD Data stream Analysis : combining the signature method and machine learning algorithms
The EDDA project aims at bringing together scientific experts from the disciplines of machine learning, stochastic analysis
and practitionners in oceanography to work together towards the common goals of 1) exploring and exploiting interpretability of the IIS feature, 2) identifying fundamental strategies and methods to elaborate IIS-enhanced machine learning algorithms, and 3) developing relevant applications in data-driven multidimensional time series analysis.
Marianne Clausel; IECL, University of Lorraine -
Joscha Diehl; University of Greifswald -
Nozomi Sugiura; GOORC, Japan Agency for Marine-Earth ScienceandTechnology