{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:07:57Z","timestamp":1743138477697,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319463780"},{"type":"electronic","value":"9783319463797"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46379-7_9","type":"book-chapter","created":{"date-parts":[[2016,9,20]],"date-time":"2016-09-20T10:54:33Z","timestamp":1474368873000},"page":"130-144","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Submodular Learning and Covering with Response-Dependent Costs"],"prefix":"10.1007","author":[{"given":"Sivan","family":"Sabato","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,21]]},"reference":[{"key":"9_CR1","unstructured":"Cuong, N., Lee, W., Ye, N.: Near-optimal adaptive pool-based active learning with general loss. In: 30th Conference on Uncertainty in Artificial Intelligence (2014)"},{"key":"9_CR2","unstructured":"Dasgupta, S.: Analysis of a greedy active learning strategy. In: NIPS 17, pp. 337\u2013344 (2004)"},{"issue":"4","key":"9_CR3","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1145\/285055.285059","volume":"45","author":"U Feige","year":"1998","unstructured":"Feige, U.: A threshold of ln(n) for approximating set cover. J. ACM (JACM) 45(4), 634\u2013652 (1998)","journal-title":"J. ACM (JACM)"},{"key":"9_CR4","first-page":"427","volume":"42","author":"D Golovin","year":"2011","unstructured":"Golovin, D., Krause, A.: Adaptive submodularity: theory and applications in active learning and stochastic optimization. J. Artif. Intell. Res. 42, 427\u2013486 (2011)","journal-title":"J. Artif. Intell. Res."},{"key":"9_CR5","unstructured":"Golovin, D., Krause, A., Ray, D.: Near-optimal bayesian active learning with noisy observations. In: NIPS, pp. 766\u2013774 (2010)"},{"key":"9_CR6","first-page":"2487","volume":"14","author":"A Gonen","year":"2013","unstructured":"Gonen, A., Sabato, S., Shalev-Shwartz, S.: Efficient active learning of halfspaces: an aggressive approach. J. Mach. Learn. Res. 14, 2487\u20132519 (2013)","journal-title":"J. Mach. Learn. Res."},{"key":"9_CR7","unstructured":"Guillory, A., Bilmes, J.A.: Interactive submodular set cover. In: Proceedings of the 27th International Conference on Machine Learning (ICML), pp. 415\u2013422 (2010)"},{"key":"9_CR8","unstructured":"Kapoor, A., Horvitz, E., Basu, S.: Selective supervision: guiding supervised learning with decision-theoretic active learning. In: Proceedings of IJCAI (2007)"},{"issue":"1","key":"9_CR9","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1145\/1217299.1217301","volume":"1","author":"J Leskovec","year":"2007","unstructured":"Leskovec, J., Kleinberg, J., Faloutsos, C.: Graph evolution: densification and shrinking diameters. ACM Trans. Knowl. Disc. Data (TKDD) 1(1), 2 (2007)","journal-title":"ACM Trans. Knowl. Disc. Data (TKDD)"},{"key":"9_CR10","unstructured":"Leskovec, J., Mcauley, J.J.: Learning to discover social circles in ego networks. In: Advances in Neural Information Processing Systems, pp. 539\u2013547 (2012)"},{"key":"9_CR11","unstructured":"Lin, H., Bilmes, J.: A class of submodular functions for document summarization. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, HLT 2011, vol. 1, pp. 510\u2013520 (2011)"},{"key":"9_CR12","unstructured":"McCallum, A.K., Nigam, K.: Employing em and pool-based active learning for text classification. In: ICML (1998)"},{"key":"9_CR13","unstructured":"Mirzasoleiman, B., Karbasi, A., Sarkar, R., Krause, A.: Distributed submodular maximization: identifying representative elements in massive data. In: NIPS, pp. 2049\u20132057 (2013)"},{"issue":"1","key":"9_CR14","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/BF01588971","volume":"14","author":"GL Nemhauser","year":"1978","unstructured":"Nemhauser, G.L., Wolsey, L.A., Fisher, M.L.: An analysis of approximations for maximizing submodular set functions. Math. Program. 14(1), 265\u2013294 (1978)","journal-title":"Math. Program."},{"key":"9_CR15","unstructured":"Sabato, S., Sarwate, A.D., Srebro, N.: Auditing: active learning with outcome-dependent query costs. In: Advances in Neural Information Processing Systems 26 (NIPS) (2013)"},{"key":"9_CR16","unstructured":"Sabato, S., Sarwate, A.D., Srebro, N.: Auditing: active learning with outcome-dependent query costs. arXiv preprint arXiv:1306.2347v4 (2015)"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Saettler, A., Laber, E., Cicalese, F.: Trading off worst and expected cost in decision tree problems and a value dependent model. arXiv preprint arXiv:1406.3655 (2014)","DOI":"10.1007\/978-3-662-48971-0_20"},{"issue":"68","key":"9_CR18","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1016\/j.ipl.2015.02.006","volume":"115","author":"A Saettler","year":"2015","unstructured":"Saettler, A., Laber, E., Cicalese, F.: Approximating decision trees with value dependent testing costs. Inf. Process. Lett. 115(68), 594\u2013599 (2015)","journal-title":"Inf. Process. Lett."},{"issue":"4","key":"9_CR19","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/BF02579435","volume":"2","author":"L Wolsey","year":"1982","unstructured":"Wolsey, L.: An analysis of the greedy algorithm for the submodular set covering problem. Combinatorica 2(4), 385\u2013393 (1982)","journal-title":"Combinatorica"}],"container-title":["Lecture Notes in Computer Science","Algorithmic Learning Theory"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46379-7_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T14:05:27Z","timestamp":1710165927000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-46379-7_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319463780","9783319463797"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46379-7_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"21 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ALT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithmic Learning Theory","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"alt2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}