1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem
Anikó Kopacz, Ágnes Mester, Sándor Kolumbán +1
We propose a train rescheduling algorithm which applies a standardized feature selection based on pairwise conflicts in order to serve as input for the reinforcement learning frame…
cs.LG2020★ 1 cited
Pruning CNN's with linear filter ensembles
Csanád Sándor, Szabolcs Pável, Lehel Csató
Despite the promising results of convolutional neural networks (CNNs), their application on devices with limited resources is still a big challenge; this is mainly due to the huge…