{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:32:08Z","timestamp":1723015928509},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>Mixture of regressions (MoR) is the well-established and effective approach to model discontinuous and heterogeneous data in regression problems. Existing MoR approaches assume smooth joint distribution for its good anlaytic properties. However, such assumption makes existing MoR very sensitive to intra-component outliers (the noisy training data residing in certain components) and the inter-component imbalance (the different amounts of training data in different components). In this paper, we make the earliest effort on Self-paced Learning (SPL) in MoR, i.e., Self-paced mixture of regressions (SPMoR) model. We propose a novel self-paced regularizer based on the Exclusive LASSO, which improves inter-component balance of training data. As a robust learning regime, SPL pursues confidence sample reasoning. To demonstrate the effectiveness of SPMoR, we conducted experiments on both the sythetic examples and real-world applications to age estimation and glucose estimation. The results show that SPMoR outperforms the state-of-the-arts methods.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/252","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T05:14:07Z","timestamp":1501218847000},"page":"1816-1822","source":"Crossref","is-referenced-by-count":15,"title":["Self-paced Mixture of Regressions"],"prefix":"10.24963","author":[{"given":"Longfei","family":"Han","sequence":"first","affiliation":[{"name":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automation, Northwestern Polytechnical University, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Carnegie Mellon University, PA, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojun","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Carnegie Mellon University, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Ren","sequence":"additional","affiliation":[{"name":"Beijing Electro-Mechanical Engineering Institute, Beijing, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Senlin","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junwei","family":"Han","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi\u2019an 710072, P. R. China."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"acronym":"IJCAI-2017","name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","start":{"date-parts":[[2017,8,19]]},"theme":"Artificial Intelligence","location":"Melbourne, Australia","end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T07:53:01Z","timestamp":1501228381000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/252"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/252","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}