{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:58:40Z","timestamp":1753887520483,"version":"3.41.2"},"reference-count":33,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T00:00:00Z","timestamp":1609804800000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010818","name":"Beijing Information Science and Technology University","doi-asserted-by":"publisher","award":["2025034"],"award-info":[{"award-number":["2025034"]}],"id":[{"id":"10.13039\/501100010818","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>It can be challenging to learn algorithms due to the research of business\u2010related few\u2010shot classification problems. Therefore, in this paper, we evaluate the classification of few\u2010shot learning in the commercial field. To accurately identify the categories of few\u2010shot learning problems, we proposed a probabilistic network (PN) method based on few\u2010shot and one\u2010shot 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\u2010shot learning problems. Therefore, the proposed method can be applied to business\u2010related few\u2010shot classification problems.<\/jats:p>","DOI":"10.1155\/2021\/6633906","type":"journal-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T20:58:37Z","timestamp":1609880317000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Applying a Probabilistic Network Method to Solve Business\u2010Related Few\u2010Shot Classification Problems"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9732-8165","authenticated-orcid":false,"given":"Lang","family":"Wu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0614-2507","authenticated-orcid":false,"given":"Menggang","family":"Li","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,1,5]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.2507\/ijsimm18(4)co18"},{"key":"e_1_2_10_2_2","first-page":"23","article-title":"Education in professional defense-possibilities of classification of training level with the help of impulse","volume":"8","author":"Lapkova D.","year":"2018","journal-title":"Journal of System and Management Sciences"},{"key":"e_1_2_10_3_2","first-page":"40","article-title":"A big data based cosmetic recommendation algorithm","volume":"10","author":"Yoon J.","year":"2020","journal-title":"Journal of System and Management Sciences"},{"key":"e_1_2_10_4_2","first-page":"53","article-title":"Multi-images recognition of breast cancer histopathological via probabilistic neural network approach","volume":"1","author":"Afify H.-M.","year":"2020","journal-title":"Journal of System and Management Sciences"},{"key":"e_1_2_10_5_2","first-page":"528","article-title":"Applying the convolutional neural network deep learning technology to behavioural recognition in intelligent video","volume":"25","author":"Qin L.","year":"2018","journal-title":"Tehnicki Vjesnik"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/0162-3095(93)90020-i"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/5.58325"},{"key":"e_1_2_10_8_2","first-page":"1","article-title":"One shot methods for optimal control of distributed parameter systems 1: finite dimensional control","volume":"91","author":"Taasan S.","year":"1991","journal-title":"ICASE Report"},{"key":"e_1_2_10_9_2","unstructured":"LiF.-F. 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