Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences

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Discussion on classification problems in machine learning

Authors
Yao Han
Corresponding Author
Yao Han
Available Online October 2015.
DOI
10.2991/iwmecs-15.2015.150How to use a DOI?
Keywords
A new observation belongs, category membership, classification.
Abstract

In the research about machine learning, classification is the problem of identifying to which of a set of categories a new observation belongs, on the basis of a training set of data containing observations whose category membership is known. In this study, the procedure and principle of resolving classification problems in machine learning is summarized by cookie quality testing.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
10.2991/iwmecs-15.2015.150
ISSN
2352-538X
DOI
10.2991/iwmecs-15.2015.150How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Yao Han
PY  - 2015/10
DA  - 2015/10
TI  - Discussion on classification problems in machine learning
BT  - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
PB  - Atlantis Press
SP  - 757
EP  - 759
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-15.2015.150
DO  - 10.2991/iwmecs-15.2015.150
ID  - Han2015/10
ER  -