Abstract

This document is the preface of the Machine Learning Workshop of the 7th International Conference on Computational Linguistics and Intelligent Systems (CoLInS 2023), April 20The main purpose of the Machine Learning Workshop is a discussion of the recent research results in all areas of Machine Learning Technology for Natural Language Processing and Intelligent Systems Development. The conference is soliciting literature review, survey and research papers comments including, whilst not limited to, the following areas of interest: The language of Machine Learning Workshop is English. The Machine Learning Workshop took the form of oral presentation by peer-reviewed individual papers. The papers were distributed among 93 external reviewers from Portugal, Serbia, Slovenia, Finland and Ukraine. The total number of reviews is 97. To take more correct decision regarding the acceptance or rejection the papers got 3-7 reviews. The peer review statistics is as follows: 21 papers (3 reviews), 1 paper (4 reviews), 1 paper (5 reviews), 3 papers (6 reviews), and 1 paper (7 reviews). ORCID: 0000-0002-9676-0180 (V. Lytvyn); 0000-0002-7404-9638 (A. Kowalska-Stychen); 0000-0001-6417-3689 (V. Vysotska)

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1. Preface • • • • • • • •

Supervised learning;

Unsupervised learning;

Semi-supervised learning;

Reinforcement learning;

Decision trees;

Classification;

Regression;

Artificial neural networks;

Associative rules;

Deep learning;

Pattern recognition;

Cluster analysis;

Data mining.

2023 Copyright for this paper by its authors.

The Machine Learning Workshop gathered participants from different countries including Germany,

Poland, Slovak Republic, Turkey, Ukraine and China.

This year Organizing Committee received 59 submissions, out of which 27 were accepted for presentation as a regular papers. These papers and extended abstracts were published in this Volume I of 7th International Conference on Computational Linguistics and Intelligent Systems (CoLInS 2023) proceedings. 2. Acknowledgments

References