Applying a Probabilistic Network Method to Solve Business-Related Few-Shot Classification Problems
It can be challenging to learn algorithms due to the research of business-related few-shot classification problems. Therefore, in this paper, we evaluate the classification of few-shot learning in the commercial field. To accurately identify the categories of few-shot learning problems, we proposed...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6633906 |
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| _version_ | 1832550583948541952 |
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| author | Lang Wu Menggang Li |
| author_facet | Lang Wu Menggang Li |
| author_sort | Lang Wu |
| collection | DOAJ |
| description | It can be challenging to learn algorithms due to the research of business-related few-shot classification problems. Therefore, in this paper, we evaluate the classification of few-shot learning in the commercial field. To accurately identify the categories of few-shot learning problems, we proposed a probabilistic network (PN) method based on few-shot and one-shot learning problems. The enhancement of the original data was followed by the subsequent development of the PN method based on feature extraction, category comparison, and loss function analysis. The effectiveness of the method was validated using two examples (absenteeism at work and Las Vegas Strip hotels). Experimental results demonstrate the ability of the PN method to effectively identify the categories of commercial few-shot learning problems. Therefore, the proposed method can be applied to business-related few-shot classification problems. |
| format | Article |
| id | doaj-art-b092b2467f884f608b5ef7019b96b4bf |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-b092b2467f884f608b5ef7019b96b4bf2025-02-03T06:06:30ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66339066633906Applying a Probabilistic Network Method to Solve Business-Related Few-Shot Classification ProblemsLang Wu0Menggang Li1School of Applied Science, Beijing Information Science and Technology University, Beijing, ChinaSchool of Economics and Management, Beijing Jiaotong University, Beijing, ChinaIt can be challenging to learn algorithms due to the research of business-related few-shot classification problems. Therefore, in this paper, we evaluate the classification of few-shot learning in the commercial field. To accurately identify the categories of few-shot learning problems, we proposed a probabilistic network (PN) method based on few-shot and one-shot learning problems. The enhancement of the original data was followed by the subsequent development of the PN method based on feature extraction, category comparison, and loss function analysis. The effectiveness of the method was validated using two examples (absenteeism at work and Las Vegas Strip hotels). Experimental results demonstrate the ability of the PN method to effectively identify the categories of commercial few-shot learning problems. Therefore, the proposed method can be applied to business-related few-shot classification problems.http://dx.doi.org/10.1155/2021/6633906 |
| spellingShingle | Lang Wu Menggang Li Applying a Probabilistic Network Method to Solve Business-Related Few-Shot Classification Problems Complexity |
| title | Applying a Probabilistic Network Method to Solve Business-Related Few-Shot Classification Problems |
| title_full | Applying a Probabilistic Network Method to Solve Business-Related Few-Shot Classification Problems |
| title_fullStr | Applying a Probabilistic Network Method to Solve Business-Related Few-Shot Classification Problems |
| title_full_unstemmed | Applying a Probabilistic Network Method to Solve Business-Related Few-Shot Classification Problems |
| title_short | Applying a Probabilistic Network Method to Solve Business-Related Few-Shot Classification Problems |
| title_sort | applying a probabilistic network method to solve business related few shot classification problems |
| url | http://dx.doi.org/10.1155/2021/6633906 |
| work_keys_str_mv | AT langwu applyingaprobabilisticnetworkmethodtosolvebusinessrelatedfewshotclassificationproblems AT menggangli applyingaprobabilisticnetworkmethodtosolvebusinessrelatedfewshotclassificationproblems |