{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:18:45Z","timestamp":1743031125345,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031803659"},{"type":"electronic","value":"9783031803666"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-80366-6_26","type":"book-chapter","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T12:30:29Z","timestamp":1740400229000},"page":"310-322","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Bayesian Regularized Iterative Soft Thresholding Algorithm"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7673-1422","authenticated-orcid":false,"given":"Nicolas","family":"Cutrona","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8589-8061","authenticated-orcid":false,"given":"Dominique","family":"Guillot","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,25]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Beck, A.: First-order methods in optimization. SIAM (2017)","DOI":"10.1137\/1.9781611974997"},{"issue":"1","key":"26_CR2","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1137\/080716542","volume":"2","author":"A Beck","year":"2009","unstructured":"Beck, A., Teboulle, M.: A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imag. Sci. 2(1), 183\u2013202 (2009)","journal-title":"SIAM J. Imag. Sci."},{"key":"26_CR3","unstructured":"Dua, D., Graff, C.: UCI machine learning repository (2017)"},{"key":"26_CR4","unstructured":"Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In: International Joint Conference on Artificial Intelligence (1993)"},{"issue":"3","key":"26_CR5","first-page":"1747","volume":"51","author":"L Jiang","year":"2021","unstructured":"Jiang, L., Kong, G., Li, C.: Wrapper framework for test-cost-sensitive feature selection. IEEE Trans. Syst. Man Cybernet. Syst. 51(3), 1747\u20131756 (2021)","journal-title":"IEEE Trans. Syst. Man Cybernet. Syst."},{"key":"26_CR6","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.patcog.2018.11.032","volume":"88","author":"L Jiang","year":"2019","unstructured":"Jiang, L., Zhang, L., Yu, L., Wang, D.: Class-specific attribute weighted naive bayes. Pattern Recogn. 88, 321\u2013330 (2019)","journal-title":"Pattern Recogn."},{"key":"26_CR7","unstructured":"Rolfs, B., Rajaratnam, B., Guillot, D., Wong, I., Maleki, A.: Iterative thresholding algorithm for sparse inverse covariance estimation. In: Pereira, F., Burges, C., Bottou, L., Weinberger, K. (eds.) Advances in Neural Information Processing Systems, vol.\u00a025. Curran Associates, Inc. (2012)"},{"key":"26_CR8","doi-asserted-by":"publisher","first-page":"04","DOI":"10.1007\/s00521-012-1329-z","volume":"24","author":"S Taheri","year":"2014","unstructured":"Taheri, S., Yearwood, J., Mammadov, M., Seifollahi, S.: Attribute weighted naive bayes classifier using a local optimization. Neural Comput. Appl. 24, 04 (2014)","journal-title":"Neural Comput. Appl."},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Wang, S., Ren, J., Bai, R.: A regularized attribute weighting framework for naive bayes. IEEE Access 12 (2020)","DOI":"10.1109\/ACCESS.2020.3044946"},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Webb, A.R.: Statistical pattern recognition. John Wiley & Sons (2003)","DOI":"10.1002\/0470854774"},{"key":"26_CR11","first-page":"05","volume":"7","author":"J Wu","year":"2011","unstructured":"Wu, J., Cai, Z.: Attribute weighting via differential evolution algorithm for attribute weighted naive bayes (wnb). J. Comput. Inform. Syst. 7, 05 (2011)","journal-title":"J. Comput. Inform. Syst."},{"key":"26_CR12","doi-asserted-by":"publisher","first-page":"51377","DOI":"10.1109\/ACCESS.2020.2973331","volume":"8","author":"L Yu","year":"2020","unstructured":"Yu, L., Gan, S., Chen, Y., He, M.: Correlation-based weight adjusted naive bayes. IEEE Access 8, 51377\u201351387 (2020)","journal-title":"IEEE Access"},{"key":"26_CR13","first-page":"1947","volume":"14","author":"N Zaidi","year":"2013","unstructured":"Zaidi, N., Cerquides, J., Carman, M., Webb, G.: Alleviating naive bayes attribute independence assumption by attribute weighting. J. Mach. Learn. Res. 14, 1947\u20131988 (2013)","journal-title":"J. Mach. Learn. Res."},{"key":"26_CR14","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1016\/j.neucom.2022.03.020","volume":"488","author":"H Zhang","year":"2022","unstructured":"Zhang, H., Jiang, L.: Fine tuning attribute weighted naive bayes. Neurocomputing 488, 402\u2013411 (2022)","journal-title":"Neurocomputing"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Cai, Y., Yang, Y., Li, Y.: Sparse weighted naive bayes classifier for efficient classification of categorical data. In: 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), pp. 691\u2013696, (2018)","DOI":"10.1109\/DSC.2018.00110"},{"issue":"2","key":"26_CR16","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","volume":"67","author":"H Zou","year":"2005","unstructured":"Zou, H., Hastie, T.: Regularization and variable selection via the elastic net. J. Royal Stat. Soc. Ser. B (Stat. Methodol.) 67(2), 301\u2013320 (2005)","journal-title":"J. Royal Stat. Soc. Ser. B (Stat. Methodol.)"}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence \u2013 IBERAMIA 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-80366-6_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T12:30:34Z","timestamp":1740400234000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-80366-6_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031803659","9783031803666"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-80366-6_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 February 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IBERAMIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ibero-American Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montevideo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Uruguay","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iberamia2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iberamia.org\/iberamia\/iberamia2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}