Ph.D. Students in Robust Learning of Dynamical Nonlinear Stochastic Models
07/07/2022 11:00
Grande área: Engenharias
Tipo de oportunidade: Pós-graduação
Objetivo: To develop less computationally demanding algorithms, which have only marginally worse accuracy compared to the optimal ones. These algorithms should also be robust, meaning that they should be less sensitive to non-ideal settings and require less a prior information. Statistical analysis of the theoretical properties of the developed algorithms is an important ingredient of the project.
Inscrições: até 15 de agosto de 2022
Local: Suécia
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