Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3149477
Abstract: Motivated to address the inconsistency between the essential i.i.d. assumption in machine learning theory and the data heterogeneity in real-world applications, we propose a novel calibrated ensemble (CE) algorithm to facilitate learning with diverse data…
read more here.
Keywords:
calibrated ensemble;
machine;
data heterogeneity;
machine learning ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2023 at "Symmetry"
DOI: 10.3390/sym15030769
Abstract: Imagining recognition of behaviors from video sequences for a machine is full of challenges but meaningful. This work aims to predict students’ behavior in an experimental class, which relies on the symmetry idea from reality…
read more here.
Keywords:
recognition;
hand;
novel heteromorphic;
ensemble algorithm ... See more keywords