Visualization of Learning Process in Feature Space
In machine learning, the structure of feature space is an important factor that determines the performance of a model. Therefore, we can deepen our understanding of learning algorithms if we can visualize changes in the structure of feature space during the learning process. However, visualizing suc...
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| Format: | Article |
| Language: | English |
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LibraryPress@UF
2023-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
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| Online Access: | https://journals.flvc.org/FLAIRS/article/view/133329 |
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| _version_ | 1850270977460535296 |
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| author | Tomohiro Inoue Noboru Murata Taiki Sugiura |
| author_facet | Tomohiro Inoue Noboru Murata Taiki Sugiura |
| author_sort | Tomohiro Inoue |
| collection | DOAJ |
| description | In machine learning, the structure of feature space is an important factor that determines the performance of a model. Therefore, we can deepen our understanding of learning algorithms if we can visualize changes in the structure of feature space during the learning process. However, visualizing such changes is difficult because it requires dimensionality reduction while maintaining consistency with the data structure in high-dimensional space and in the temporal direction. In this study, we visualized feature changes during the learning process by capturing them as changes in the positional relationship between target features and time-invariant reference coordinates with a log-bilinear model. |
| format | Article |
| id | doaj-art-9dbf91de4fef4c9bacccbccba2ebddd0 |
| institution | OA Journals |
| issn | 2334-0754 2334-0762 |
| language | English |
| publishDate | 2023-05-01 |
| publisher | LibraryPress@UF |
| record_format | Article |
| series | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| spelling | doaj-art-9dbf91de4fef4c9bacccbccba2ebddd02025-08-20T01:52:22ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622023-05-013610.32473/flairs.36.13332969635Visualization of Learning Process in Feature SpaceTomohiro Inoue0https://orcid.org/0009-0002-1795-0531Noboru Murata1https://orcid.org/0000-0002-4258-6877Taiki Sugiura2Waseda UniversityWaseda UniversityWaseda UniversityIn machine learning, the structure of feature space is an important factor that determines the performance of a model. Therefore, we can deepen our understanding of learning algorithms if we can visualize changes in the structure of feature space during the learning process. However, visualizing such changes is difficult because it requires dimensionality reduction while maintaining consistency with the data structure in high-dimensional space and in the temporal direction. In this study, we visualized feature changes during the learning process by capturing them as changes in the positional relationship between target features and time-invariant reference coordinates with a log-bilinear model.https://journals.flvc.org/FLAIRS/article/view/133329visualizationstochastic embeddingmappingdimensionality reduction |
| spellingShingle | Tomohiro Inoue Noboru Murata Taiki Sugiura Visualization of Learning Process in Feature Space Proceedings of the International Florida Artificial Intelligence Research Society Conference visualization stochastic embedding mapping dimensionality reduction |
| title | Visualization of Learning Process in Feature Space |
| title_full | Visualization of Learning Process in Feature Space |
| title_fullStr | Visualization of Learning Process in Feature Space |
| title_full_unstemmed | Visualization of Learning Process in Feature Space |
| title_short | Visualization of Learning Process in Feature Space |
| title_sort | visualization of learning process in feature space |
| topic | visualization stochastic embedding mapping dimensionality reduction |
| url | https://journals.flvc.org/FLAIRS/article/view/133329 |
| work_keys_str_mv | AT tomohiroinoue visualizationoflearningprocessinfeaturespace AT noborumurata visualizationoflearningprocessinfeaturespace AT taikisugiura visualizationoflearningprocessinfeaturespace |