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cs.LG2025
Neural Bayesian Filtering
Christopher Solinas, Radovan Haluska, David Sychrovsky +6
We present Neural Bayesian Filtering (NBF), an algorithm for maintaining distributions over hidden states, called beliefs, in partially observable systems. NBF is trained to find a…
cs.LG2023★ 5 cited
Benchmark of Data Preprocessing Methods for Imbalanced Classification
Radovan Haluška, Jan Brabec, Tomáš Komárek
Severe class imbalance is one of the main conditions that make machine learning in cybersecurity difficult. A variety of dataset preprocessing methods have been introduced over the…