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As a result, the real relationship among labels may not be correctly characterized and the final prediction is not explicitly correlated. To address these problems, we propose a novel high-order multi-label learning algorithm of Label collAboration based Multi-laBel learning (LAMB). With regard to each label, LAMB utilizes collaboration between its own prediction and the prediction of other labels. Extensive experiments on various datasets demonstrate that our proposed LAMB algorithm achieves superior performance over existing state-of-the-art algorithms. In addition, one real-world dataset of channelrhodopsins chimeras is assessed, which would be of great value as pre-screen for membrane proteins function.<\/jats:p>","DOI":"10.3233\/ida-215946","type":"journal-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T11:46:11Z","timestamp":1662464771000},"page":"1229-1245","source":"Crossref","is-referenced-by-count":0,"title":["LAMB: A novel algorithm of label collaboration based multi-label learning"],"prefix":"10.1177","volume":"26","author":[{"given":"Yi","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhecheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyuan","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengyang","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, Jiangsu, China"},{"name":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chongjun","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"8","key":"10.3233\/IDA-215946_ref1","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1038\/nrn1476","article-title":"Visual objects in context","volume":"5","author":"Bar","year":"2004","journal-title":"Nature Reviews Neuroscience"},{"issue":"10","key":"10.3233\/IDA-215946_ref2","doi-asserted-by":"crossref","first-page":"e1005786","DOI":"10.1371\/journal.pcbi.1005786","article-title":"Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization","volume":"13","author":"Bedbrook","year":"2017","journal-title":"PLoS Computational Biology"},{"issue":"9","key":"10.3233\/IDA-215946_ref3","doi-asserted-by":"crossref","first-page":"1757","DOI":"10.1016\/j.patcog.2004.03.009","article-title":"Learning multi-label scene classification","volume":"37","author":"Boutell","year":"2004","journal-title":"Pattern Recognition"},{"key":"10.3233\/IDA-215946_ref4","unstructured":"K. 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