S Bahrami, E Tuncel - 2022 IEEE International Symposium on …, 2022 - ieeexplore.ieee.org
In this paper, robust linear adaptive filtering in presence of non-Gaussian noise is addressed. More precisely, the well-known algorithm for robust adaptive learning called …
S Bahrami, E Tuncel - 2022 58th Annual Allerton Conference …, 2022 - ieeexplore.ieee.org
In this paper, online linear regression in environ-ments corrupted by non-Gaussian noise is addressed. In such environments, the error between the system output and the label also …
ML Rodriguez, CE Torres - … of Data Science and Machine Learning, 2023 - igi-global.com
PdM is unready to face the near-future incoming challenges since it is anchored in an obsolete paradigm alien to the incoming cyber-physical reality and unfit for unbelievable …
Response Surface Models (RSMs) are fast, reduced complexity models that are fit to approximate the response of a complex higher-level model to changes in its inputs. They …
In this thesis, we incorporate information theory into statistical signal processing and machine learning in order to achieve robust learning in presence of outliers (or generally in …