2024
DOI: 10.15587/1729-4061.2024.299734
|View full text |Cite
|
Sign up to set email alerts
|

Reducing the volume of computations when building analogs of neural networks for the first stage of an ensemble classifier with stacking

Oleg Galchonkov,
Oleksii Baranov,
Petr Chervonenko
et al.

Abstract: The object of research in this work is ensemble classifiers with stacking, intended for the classification of objects in images with the presence of small sets of labeled data for training. To improve the quality of classification at the first stage of such a classifier, it is necessary to place more primary classifiers that differ in heterogeneous structured processing. However, the number of known neural networks with appropriate characteristics is limited. One approach to solving this problem is to build an… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 24 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?