Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model
Mixture models are a common unsupervised learning technique that have been widely used to statistically approximate and analyse heterogenous data. In this paper, an effective mixture model-based approach for positive vectors clustering and modeling is proposed. Our mixture model is based on the inve...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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LibraryPress@UF
2021-04-01
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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/128379 |
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| author | Mohammad Sadegh Ahmadzadeh Narges Manouchehri Hafsa Ennajari Nizar Bouguila Manar Amayri Wentao Fan |
| author_facet | Mohammad Sadegh Ahmadzadeh Narges Manouchehri Hafsa Ennajari Nizar Bouguila Manar Amayri Wentao Fan |
| author_sort | Mohammad Sadegh Ahmadzadeh |
| collection | DOAJ |
| description | Mixture models are a common unsupervised learning technique that have been widely used to statistically approximate and analyse heterogenous data. In this paper, an effective mixture model-based approach for positive vectors clustering and modeling is proposed. Our mixture model is based on the inverted Beta-Liouville (IBL) distribution. To deploy the proposed model, we introduce an entropy-based variational inference algorithm. The performance of the proposed model is evaluated on two real-world applications, namely, human activity recognition and image categorization. |
| format | Article |
| id | doaj-art-a239f8f04d4f4e8dab179acf84733bb3 |
| institution | DOAJ |
| issn | 2334-0754 2334-0762 |
| language | English |
| publishDate | 2021-04-01 |
| publisher | LibraryPress@UF |
| record_format | Article |
| series | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| spelling | doaj-art-a239f8f04d4f4e8dab179acf84733bb32025-08-20T03:07:16ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622021-04-013410.32473/flairs.v34i1.12837962775Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture ModelMohammad Sadegh Ahmadzadeh0Narges Manouchehri1https://orcid.org/0000-0002-3011-5162Hafsa Ennajari2Nizar Bouguila3Manar Amayri4Wentao Fan5Concordia UniversityConcordia UniversityConcordia UniversityConcordia UniversityGrenoble Institute of TechnologyHuaqiao UniversityMixture models are a common unsupervised learning technique that have been widely used to statistically approximate and analyse heterogenous data. In this paper, an effective mixture model-based approach for positive vectors clustering and modeling is proposed. Our mixture model is based on the inverted Beta-Liouville (IBL) distribution. To deploy the proposed model, we introduce an entropy-based variational inference algorithm. The performance of the proposed model is evaluated on two real-world applications, namely, human activity recognition and image categorization.https://journals.flvc.org/FLAIRS/article/view/128379mixture modelsinverted beta-liouville distributionentropy-based variational inference |
| spellingShingle | Mohammad Sadegh Ahmadzadeh Narges Manouchehri Hafsa Ennajari Nizar Bouguila Manar Amayri Wentao Fan Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model Proceedings of the International Florida Artificial Intelligence Research Society Conference mixture models inverted beta-liouville distribution entropy-based variational inference |
| title | Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model |
| title_full | Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model |
| title_fullStr | Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model |
| title_full_unstemmed | Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model |
| title_short | Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model |
| title_sort | entropy based variational learning of finite inverted beta liouville mixture model |
| topic | mixture models inverted beta-liouville distribution entropy-based variational inference |
| url | https://journals.flvc.org/FLAIRS/article/view/128379 |
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