{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,12]],"date-time":"2026-11-12T12:10:59Z","timestamp":1794485459259,"version":"4.9.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319118116","type":"print"},{"value":"9783319118123","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-11812-3_15","type":"book-chapter","created":{"date-parts":[[2014,9,26]],"date-time":"2014-09-26T23:03:16Z","timestamp":1411772596000},"page":"168-179","source":"Crossref","is-referenced-by-count":7,"title":["Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency"],"prefix":"10.1007","author":[{"given":"Georg","family":"Krempl","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Kottke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Myra","family":"Spiliopoulou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"15_CR1","unstructured":"Asuncion, A., Newman, D.J.: UCI ML repository (2013)"},{"key":"15_CR2","unstructured":"Chapelle, O.: Active learning for parzen window classifier. In: Proc. 10th Int. Workshop on AI and Statistics, pp. 49\u201356 (2005)"},{"key":"15_CR3","doi-asserted-by":"crossref","unstructured":"Chapelle, O., Sch\u00f6lkopf, B., Zien, A. (eds.): Semi-Supervised Learning. MIT Press (2006)","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"key":"15_CR4","unstructured":"Cohn, D.: Active learning. In: Sammut, C., Webb, G.I. (eds.) Encyclopedia of ML, pp. 10\u201314. Springer (2010)"},{"key":"15_CR5","first-page":"129","volume":"4","author":"D.A. Cohn","year":"1996","unstructured":"Cohn, D.A., Ghahramani, Z., Jordan, M.I.: Active learning with statistical models. J. of AI Research\u00a04, 129\u2013145 (1996)","journal-title":"J. of AI Research"},{"issue":"2","key":"15_CR6","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/s10115-012-0507-8","volume":"35","author":"Y. Fu","year":"2012","unstructured":"Fu, Y., Zhu, X., Li, B.: A survey on instance selection for active learning. Knowledge and Inf. Syss.\u00a035(2), 249\u2013283 (2012)","journal-title":"Knowledge and Inf. Syss."},{"key":"15_CR7","unstructured":"Garnett, R., Krishnamurthy, Y., Xiong, X., Schneider, J.G., Mann, R.: Bayesian optimal active search and surveying. In: Proc. of the 29th ICML (2012)"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Gopalkrishnan, V., Steier, D., Lewis, H., Guszcza, J.: Big data, big business: Bridging the gap. In: Workshop on Big Data, Streams and Heterogeneous Source Mining, pp. 7\u201311 (2012)","DOI":"10.1145\/2351316.2351318"},{"issue":"9","key":"15_CR9","doi-asserted-by":"publisher","first-page":"1557","DOI":"10.1109\/TPAMI.2007.70811","volume":"30","author":"S.S. Ho","year":"2008","unstructured":"Ho, S.S., Wechsler, H.: Query by transduction. IEEE Trans. on Pattern A. & Mach. Int.\u00a030(9), 1557\u20131571 (2008)","journal-title":"IEEE Trans. on Pattern A. & Mach. Int."},{"key":"15_CR10","unstructured":"Krempl, G., Kottke, D., Spiliopoulou, M.: Probabilistic active learning: A short proposition. In: Proc. 21st Europ. Conf. on AI (ECAI 2014). IOS Press (2014)"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Lewis, D.D., Gale, W.A.: A sequential algorithm for training text classifiers. In: Proc. of the 17th ACM SIGIR, pp. 3\u201312 (1994)","DOI":"10.1007\/978-1-4471-2099-5_1"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Parker, C.: An analysis of performance measures for binary classifiers. In: Proc. of the 11th ICDM, pp. 517\u2013526. IEEE (2011)","DOI":"10.1109\/ICDM.2011.21"},{"key":"15_CR13","unstructured":"Roy, N., McCallum, A.: Toward optimal active learning through sampling estimation of error reduction. In: Proc. of the 18th ICML, pp. 441\u2013448 (2001)"},{"key":"15_CR14","unstructured":"Settles, B.: Active Learning literature survey. CS Tech. Rep. 1648, U. Wisconsin (2009)"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Settles, B.: Active Learning. in Synth. Lect. AI and ML. Morgan Claypool, vol. 18 (2012)","DOI":"10.1007\/978-3-031-01560-1"},{"key":"15_CR16","unstructured":"Tomanek, K., Morik, K.: Inspecting sample reusability for active learning. In: Guyon, I., et al. (eds.) AISTATS workshop on Act. Learning and Exp. Design., vol.\u00a016, pp. 169\u2013181 (2011)"}],"container-title":["Lecture Notes in Computer Science","Discovery Science"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-11812-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T17:17:19Z","timestamp":1689527839000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-11812-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319118116","9783319118123"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-11812-3_15","relation":{"is-part-of":[{"id-type":"doi","id":"https:\/\/doi.org\/10.1007\/978-3-319-11812-3","asserted-by":"object"}]},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}