no code implementations • 30 Aug 2023 • Marek Rychlik, Bekir Tanriover, Yan Han
This dataset is by far larger than any previously available even in this preliminary phase; and 3) proving that our methods can be extended to all the past OPTN data and future data.
no code implementations • 8 Dec 2020 • Dwight Nwaigwe, Marek Rychlik
We revisit the problem of the existence of the maximum likelihood estimate for multi-class logistic regression.
no code implementations • 8 May 2020 • Marek Rychlik, Dwight Nwaigwe, Yan Han, Dylan Murphy
We report upon the results of a research and prototype building project \emph{Worldly~OCR} dedicated to developing new, more accurate image-to-text conversion software for several languages and writing systems.
no code implementations • 29 Mar 2019 • Marek Rychlik
In the statistics and machine learning community it is known as a multi-class logistic regression neural network.
no code implementations • 23 Jun 2018 • Marek Rychlik
Subsequently we constructed an RNN capable of decoding sequences encoded in this manner.