{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T05:22:09Z","timestamp":1772083329598,"version":"3.50.1"},"reference-count":97,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2012,6,6]],"date-time":"2012-06-06T00:00:00Z","timestamp":1338940800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2013,5]]},"DOI":"10.1007\/s10115-012-0507-8","type":"journal-article","created":{"date-parts":[[2012,6,5]],"date-time":"2012-06-05T19:26:35Z","timestamp":1338924395000},"page":"249-283","source":"Crossref","is-referenced-by-count":274,"title":["A survey on instance selection for active learning"],"prefix":"10.1007","volume":"35","author":[{"given":"Yifan","family":"Fu","sequence":"first","affiliation":[]},{"given":"Xingquan","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,6,6]]},"reference":[{"key":"507_CR1","unstructured":"Aminian M (2005) Active learning with scarcely labeled instances via bias variance reduction. In: Proceedings of international conference on artificial intelligence and machine learning (ICAIML 2005), Cairo, pp 41\u201345"},{"key":"507_CR2","unstructured":"Becker M, Hachey B, Alex B, Grover C (2005) Optimising selective sampling for boostrapping named entity recognition. In : Workshop on learning with multiple view the 22nd international conference on machine learning (ICML 2005), Bonn, pp 5\u201311"},{"key":"507_CR3","unstructured":"Bilgic M, Mihalkova L, Getoor L (2010) Active learning for networked data. In: Proceedings of the 27th international conference on machine learning (ICML 2010), ACM, Haifa, pp 79\u201386"},{"key":"507_CR4","unstructured":"Bottou L (1991) One approche theorique del apprentissage connexionniste: applications. Ala reconnaissance de la parole. Doctoral dissertation, Universite de Paris XI"},{"key":"507_CR5","unstructured":"Burl MC, Wang E (2009) Active learning for directed exploration of complex systems. In: Proceedings of the 26th international conference on machine learning (ICML 2009), Montreal, pp 89\u201396"},{"key":"507_CR6","unstructured":"Campbell C, Cristianini N, Smola A (2000) Query learning with large margin classifiers. In: Proceedings of the 17th international conference of machine learning (ICML 2000), CA, pp 111\u2013118"},{"key":"507_CR7","doi-asserted-by":"crossref","unstructured":"Carlson A, Berreridge J, Wang R, Hruschka ER, Mitchell TM (2010) Coupling semi-supervised learning of information extraction. In: Proceedings of the ACM international conference on web search and data mining (ICWSDM-2010), Washington, pp 101\u2013110","DOI":"10.1145\/1718487.1718501"},{"key":"507_CR8","unstructured":"Chang MW, Ratinov L, Rizzolo N, Roth D (2008) Learning and inference with constraints. In: Proceedings of the 23rd national conference on artificial intelligence (AAAI 2008), Chicago, pp 1513\u20131518"},{"key":"507_CR9","unstructured":"Chang MW, Ratinov LA, Roth D (2007) Guiding semi-supervision with constraint-driven learning. In: Proceedings of the 45th annual meeting of the association for computational linguistics (ACL 2007), Prague, pp 280\u2013287"},{"key":"507_CR10","doi-asserted-by":"crossref","unstructured":"Chen Y, Subramani M (2010) Study of active learning in the challenge. In: Proceedings of the international joint conference on neural network (IJCNN 2010), Barcelona, pp 1\u20137","DOI":"10.1109\/IJCNN.2010.5596776"},{"key":"507_CR11","doi-asserted-by":"crossref","unstructured":"Cheng H, Zhang R, Peng Y, Mao J, Tan P (2008) Maximum margin active learning for sequence labeling with different length. In: Proceedings of the 8th industrial conference on advances in data mining: medical applications E-commerce marketing and theoretical aspects (ICADM 2008), Leipzig, pp 345\u2013359","DOI":"10.1007\/978-3-540-70720-2_27"},{"key":"507_CR12","doi-asserted-by":"crossref","unstructured":"Copa L, Devis T, Michele V, Mikhail K (2010) Unbiased query-by-bagging active learning for VHR image classification. In: Proceedings of conference on image and signal processing for remote sensing XVI (ISPRS 2010), vol 7830, Toulouse, pp 78300K\u201378300K-8","DOI":"10.1117\/12.864861"},{"key":"507_CR13","unstructured":"Escudeiro N, Jorge A (2010) D-confidence: an active learning strategy which efficiently identifies small classes. In: Proceedings of workshop on active learning for natural language processing (ALNLP 2010), Los Angels, pp 18\u201326"},{"issue":"1","key":"507_CR14","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/S0304-3975(01)00079-2","volume":"284","author":"S Fine","year":"2002","unstructured":"Fine S, Bachrach RG, Shamir E (2002) Query by committee liner separation and random walks. Theor Comput Sci 284(1): 25\u201351","journal-title":"Theor Comput Sci"},{"issue":"4","key":"507_CR15","first-page":"573","volume":"24","author":"A Fuji","year":"1998","unstructured":"Fuji A, Tokunaga T, Inui K, Tanaka H (1998) Selective sampling for example based word sense disambiguation. Comput Linguist 24(4): 573\u2013597","journal-title":"Comput Linguist"},{"key":"507_CR16","unstructured":"Gilad-Bachrach R, Navor A (2003) Kernel query by committee algorithm. Technology report no. 2003-88 Leibniz centre, The Hebrew University"},{"key":"507_CR17","unstructured":"Godec et\u00a0al (2010) Context-driven clustering by multi-class classification in an active learning framework. In 2010 IEEE computer society conference on computer vision and pattern recognition workshops, pp 19\u201324"},{"key":"507_CR18","doi-asserted-by":"crossref","unstructured":"Hassanzadeh H, Keyvanpour M (2011) A variance based active learning approach for named entity recognition. In: Intelligent computing and information science, vol 135, Springer, Berlin, pp 347\u2013352","DOI":"10.1007\/978-3-642-18134-4_56"},{"key":"507_CR19","doi-asserted-by":"crossref","unstructured":"Hoi SCH, Jin R, Lyu MR (2006) Large-scale text categorization by batch model active learning. In: The international conference on the world wide web (WWW 2006), ACM Press, New york, pp 633\u2013642","DOI":"10.1145\/1135777.1135870"},{"key":"507_CR20","doi-asserted-by":"crossref","unstructured":"Hoi SHC, Jin R, Zhu J, Lyu MR (2006) Batch mode active learning and its application to medical image classification. In: The 23rd international conference on machine learning (ICML 2006), Pittsburgh, pp 417\u2013424","DOI":"10.1145\/1143844.1143897"},{"key":"507_CR21","doi-asserted-by":"crossref","unstructured":"Holub A, Perona P (2008) Entropy-based active learning for object recognition. In: IEEE computer society conference on computer vision and pattern recognition workshop anchorage (CVPR 2008), pp 1\u20138","DOI":"10.1109\/CVPRW.2008.4563068"},{"key":"507_CR22","doi-asserted-by":"crossref","unstructured":"Huang A, Milne D, Frank E, Witten I (2008) Clustering documents with active learning using wikipedia. In: The 8th IEEE international conference on data mining (ICDM 2008), Pisa, pp 839\u2013844","DOI":"10.1109\/ICDM.2008.80"},{"key":"507_CR23","doi-asserted-by":"crossref","unstructured":"Huang J, Milne D, Frank E, Witten I (2007) Efficient multiclass boosting classification with active learning. In: The SIAM international conference on data mining (SDM 2007), Minnesota, pp 297\u2013308","DOI":"10.1137\/1.9781611972771.27"},{"key":"507_CR24","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1080\/00207728808967633","volume":"19","author":"T Ishihara","year":"1988","unstructured":"Ishihara T, Abe KI, Takeda H (1988) Extensions of innovations dual control. Int J Syst Sci 19: 653\u2013667","journal-title":"Int J Syst Sci"},{"key":"507_CR25","unstructured":"Jones R, Ghani R, Mitchell T, Rilo E (2003) Active learning for information extraction with multiple view feature sets. In: Proceedings of ECML Workshop on Adaptive Text Extraction and Mining (ATEM-2003)"},{"key":"507_CR26","unstructured":"Kim J, Song Y, Kim S, Cha J, Lee G (2006) MMr-based active machine learning for bionamed entity recognition. In: Human language technology and the North American association for computational linguistics, ACL Press, pp 69\u201372"},{"key":"507_CR27","doi-asserted-by":"crossref","unstructured":"Kunegis J, Lommatzsch A, Bauckhage C (2008) Alternative similarity functions for graph kernels. In: Proceedings of international conference on pattern recognition (ICPR 2008), Florida, pp 1\u20134","DOI":"10.1109\/ICPR.2008.4761801"},{"key":"507_CR28","doi-asserted-by":"crossref","unstructured":"Lewis D, Gale W (1994) A sequential algorithm for training text classifiers. In: Proceedings of the ACM SIGIR conference on research and development in information retrieval (SIGIR 1994), Dublin, pp 3\u201312","DOI":"10.1007\/978-1-4471-2099-5_1"},{"key":"507_CR29","unstructured":"Li B, Yu S, Lu Q (2003) An improved k-nearest neighbor algorithm for text categorization. In: Proceedings of the 20th international conference on computer processing of oriental languages (CPOL 2003), Shenyang, pp 12\u201319"},{"key":"507_CR30","unstructured":"Li D, Qian F, Fu P (2002) Variance minimization approach for a class of dual control problems. In: Proceedings of the 2002 American control conference (ACC 2002), Alaska, pp 3759\u20133764"},{"issue":"8","key":"507_CR31","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.1109\/TPAMI.2006.156","volume":"28","author":"M Li","year":"2006","unstructured":"Li M, Ishwar KS (2006) Confidence-based active learning. IEEE Trans Pattern Anal Mach Intell 28(8): 1251\u20131261","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"507_CR32","doi-asserted-by":"crossref","unstructured":"Long B, Chapelle O, Zhang Y, Chang Y, Zheng Z, Tseng B (2010) Active learning for ranking through expected loss optimization. In: Proceedings of the 33rd international ACM SIGIR conference on research and development in information retrieval (SIGIR 2010), Geneva, pp 267\u2013274","DOI":"10.1145\/1835449.1835495"},{"key":"507_CR33","unstructured":"Mann G, McCallum A (2007) Effiecent computation of entropy gradient for semi-supervised conditional random fields. In: Proceedings of the conference of the North American chapter of the association for computational linguistics (NAACL 2007), PA, pp 109\u2013112"},{"key":"507_CR34","unstructured":"McCallum AK, Nigam K (1998) Employing EM in pool-based active learning for text classification. In: Proceedings of the international conference on machine learning (ICML 1998), Morgan, pp 359\u2013367"},{"issue":"1","key":"507_CR35","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1109\/TAC.1982.1102863","volume":"27","author":"R Milito","year":"1982","unstructured":"Milito R, Padilla C, Padilla R, Cadorin D (1982) An innovations approach to dual control. IEEE Trans Autom Control 27(1): 132\u2013137","journal-title":"IEEE Trans Autom Control"},{"key":"507_CR36","unstructured":"Muslea I (2002) Active learning with multiple views. Doctoral dissertation, University of South California"},{"key":"507_CR37","unstructured":"Nguyen HT, Smeulders A (2004) Active learning using pre-clustering. In: Proceedings of the 21st international conference on machine learning (ICML 2004), Banff, pp 839\u2013846"},{"key":"507_CR38","unstructured":"Nguyen HV, Li B (2010) Cosine similarity metric learning for face verification. In: Proceedings of Asian conference on computer vision (ACCV 2010), QueensTown, pp 709\u2013720"},{"key":"507_CR39","unstructured":"Olsson F (2009) A literature survey of active learning machine learning in the context of natural language procession. Swedish Institute of Computer Science, Technical report T2009:06"},{"key":"507_CR40","unstructured":"Qi G, Hua X, Rui Y, Tang J, Zhang H (2008) Two-dimensional active learning for image classification. In: Proceedings of the 23rd IEEE conference on computer vision and pattern recognition (CVPR 2008), Alaska, pp 1\u20138"},{"key":"507_CR41","unstructured":"Roy N, McCallum A (2001) Toward optimal active learning through sampling estimation of error reduction. In: Proceedings of the international conference on machine learning (ICML 2001), Morgan, pp 441\u2013448"},{"key":"507_CR42","unstructured":"Saar-Tsechansky M, Provost F (2000) Variance-based active learning. The CeDER working paper no. IS-00-05"},{"key":"507_CR43","doi-asserted-by":"crossref","unstructured":"Seung H,S, Opper M, Sompolinsky H (1992) Query by committee. In: Proceedings of the 5th annual workshop on computational learning theory (COLT 1992), Pittsburgh, pp 287\u2013294","DOI":"10.1145\/130385.130417"},{"key":"507_CR44","unstructured":"Settles B (2010) Active learning literature survey. Technical report 1648, University of Wisconsin, Madison"},{"key":"507_CR45","doi-asserted-by":"crossref","unstructured":"Settles B, Craven M (2008) An analysis of active learning strategies for sequence labeling tasks. In: Proceedings of the conference on empirical methods in natural language processing (EMNLP-2008), Hawaii, pp 1070\u20131079","DOI":"10.3115\/1613715.1613855"},{"key":"507_CR46","first-page":"1289","volume":"20","author":"B Settles","year":"2008","unstructured":"Settles B, Craven M, Ray S (2008) Multiple-instance active learning. Adv Neural Inf Process Syst 20: 1289\u20131296","journal-title":"Adv Neural Inf Process Syst"},{"key":"507_CR47","doi-asserted-by":"crossref","unstructured":"Shen D, Zhang J, Su J, Zhou G, Tan C (2004) Multi-criteria-based active learning for named entity recognition. In: Proceedings of the 42nd annual meeting of association for computational linguistics (ACL 2004), Barcelona, pp 589\u2013596","DOI":"10.3115\/1218955.1219030"},{"key":"507_CR48","doi-asserted-by":"crossref","unstructured":"Shi S, Liu Y, Huang Y, Zhu S, Liu Y (2008) Active learning for knn based on bagging features. In: Proceedings of the 4th international conference on natural computation (ICNC 2008), Jinan, pp 61\u201364","DOI":"10.1109\/ICNC.2008.868"},{"key":"507_CR49","unstructured":"Shum S, Dehak N, Dehak R, Glass J (2010) Unsupervised speaker adaptation based on the consine similarity for text-independent speaker verification. In: Proceedings of the IEEE Odyssey workshop, Brno"},{"key":"507_CR50","unstructured":"Stolfo S, Fan W, Lee W, Prodromidis A (1997) Credit card fraud detection using meta-learning: issues and initial results. In: Proceedings of AAAI workshop on fraud detection and risk management (AAAI 1997), California, pp 83\u201390"},{"key":"507_CR51","doi-asserted-by":"crossref","unstructured":"Sun S (2010) Active learning with extremely sparse labeled examples. In: Proceedings of the 10th Brazilian symposium on neural networks (SBRN 2010), Sao Paulo, pp 2980\u20132984","DOI":"10.1016\/j.neucom.2010.07.007"},{"key":"507_CR52","doi-asserted-by":"crossref","first-page":"54","DOI":"10.2174\/1874133900903010054","volume":"3","author":"S Sohn","year":"2009","unstructured":"Sohn S, Comeau D, Kim W, Wilbur W (2009) Term-centric active learning for naive bayes document classification. Open Inf Syst J 3: 54\u201367","journal-title":"Open Inf Syst J"},{"issue":"2","key":"507_CR53","first-page":"3","volume":"2","author":"M Wang","year":"2011","unstructured":"Wang M, Hua X (2011) Active learning in multimedia annotation and retrieval: a survey. ACM Trans Intell Syst Technolo 2(2): 3\u201323","journal-title":"ACM Trans Intell Syst Technolo"},{"key":"507_CR54","doi-asserted-by":"crossref","unstructured":"Wang Z, Song Y, Zhang C (2009) Efficient active learning with boosting. In: Proceedings of the SIAM data mining conference (SDM 2009), Nevada, pp 1232\u20131243","DOI":"10.1137\/1.9781611972795.105"},{"key":"507_CR55","unstructured":"Weber JS, Pollack ME (2007) Entropy-driven online active learning for interactive calendar management. In: Proceedings of the 12th international conference on intelligent user interfaces (ICIUI 2007), Hawaii, pp 141\u2013150"},{"key":"507_CR56","first-page":"13","volume":"3","author":"B Wittenmark","year":"1975","unstructured":"Wittenmark B (1975) An active suboptimal dual controller for systems with stochastic parameters. Automat Control Theory Appl 3: 13\u201319","journal-title":"Automat Control Theory Appl"},{"key":"507_CR57","unstructured":"Zhu X, Ghahramani Z, John L (2003) Semi-supervised learning using Gaussian fields and harmonic functions. In: Proceedings of the 20th international conference on machine learning (ICML 2003), Washington, pp 912\u2013919"},{"key":"507_CR58","first-page":"251","volume":"5960","author":"S Yan","year":"2005","unstructured":"Yan S (2005) Semi-automatic video semantic annotation based on active learning. Vis Commun Image Process 5960: 251\u2013258","journal-title":"Vis Commun Image Process"},{"key":"507_CR59","doi-asserted-by":"crossref","unstructured":"Zhang Y (2010) Multi-task active learning with output constraints. In: Proceedings of the 24th AAAI conference on artificial intelligence (AAAI 2010), Georgia, pp 667\u2013672","DOI":"10.1609\/aaai.v24i1.7698"},{"key":"507_CR60","doi-asserted-by":"crossref","unstructured":"Zhao Y, Cao Y, Pan X (2008) A telecom clients credit risk rating model based on active learning. In: Proceedings of IEEE international conference on automation and logistics (ICAL 2008), Qingdao, pp 2590\u20132593","DOI":"10.1109\/ICAL.2008.4636608"},{"key":"507_CR61","doi-asserted-by":"crossref","unstructured":"Zhao Y, Xu C, Cao Y (2006) Research on query-by-committee method of active learning and application. In: Lecture notes on artificial intelligence (LNAI 2006), vol 4093, pp 985\u2013991","DOI":"10.1007\/11811305_107"},{"key":"507_CR62","doi-asserted-by":"crossref","unstructured":"Zhou Z, Sun Y, Li Y (2009) Multi-instance learning by treating instances as non-i,i,d, samples. In: Proceedings of the 26th international conference on machine learning (ICML 2009), Montreal, pp 1249\u20131256","DOI":"10.1145\/1553374.1553534"},{"issue":"6","key":"507_CR63","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1109\/TASL.2009.2033421","volume":"18","author":"J Zhu","year":"2010","unstructured":"Zhu J, Wang H, Tsou B, Ma M (2010) Active learning with sampling by uncertainty and density for instances annotations. IEEE Trans Audio Speech Lang Process 18(6): 1323\u20131331","journal-title":"IEEE Trans Audio Speech Lang Process"},{"key":"507_CR64","unstructured":"Zhu X (2008) Semi-supervised learning literature survey. In: Computer sciences TR 1530, University of Wisconsin, Madison"},{"key":"507_CR65","doi-asserted-by":"crossref","unstructured":"Zhu X, Zhang P, Lin X, Shi Y (2007) Active learning from data streams. In: Proceedings of the 7th IEEE international conference on data mining (ICDM 2007), Nebraska, pp 757\u2013762","DOI":"10.1109\/ICDM.2007.101"},{"key":"507_CR66","doi-asserted-by":"crossref","unstructured":"Bilgic M, Getoor L (2010) Active inference for collective classification. In: Proceedings of the 24th AAAI conference on artificial intelligence (AAAI 2010), Georgia, pp 1652\u20131655","DOI":"10.1609\/aaai.v24i1.7704"},{"key":"507_CR67","doi-asserted-by":"crossref","unstructured":"Chu W, Zinkevich M, Li L (2011) Unbiased online active learning in data streams. In: Proceedings of the 17th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD 2011), CA","DOI":"10.1145\/2020408.2020444"},{"key":"507_CR68","doi-asserted-by":"crossref","unstructured":"Zhang P, Zhu X, Tan J, Guo L (2010) Classifier and cluster ensembles formining concept drifting data streams. In: Proceedings of the 10th IEEE international conference on data mining (ICDM 2010), Sydney, pp 1175\u20131180","DOI":"10.1109\/ICDM.2010.125"},{"key":"507_CR69","unstructured":"Cesa-Bianchi N, Gentile C, Vitale F, Zappella G (2010) Active learing on trees and graphs. In: Proceedings of the 23rd international conference on learning theory, Haifa, pp 320\u2013332"},{"key":"507_CR70","unstructured":"Guillory A, Bilmes J (2009) Labeled selection on graphs. In: Proceedings of 23rd annual conference on neural information processing systems (NIPS 2009), Vancouver, pp 320\u2013332"},{"key":"507_CR71","doi-asserted-by":"crossref","unstructured":"Sheng VS, Provost F, Ipeirotis P (2008) Get another label? Improving data quality and data mining using multiple, noisy labelers. In: Proceedings of 16th ACM SIGKDD conference on knowledge discovery and data mining (KDD 2008), Washington, pp 615\u2013622","DOI":"10.1145\/1401890.1401965"},{"key":"507_CR72","doi-asserted-by":"crossref","unstructured":"Zhao L, Sukthankar G, Sukthankar R (2011) Incremental relabeling for active learning with noisy crowdsourced annotations. In: Proceedings of the 2011 IEEE third international confernece on social computing (SocialCom 2011), Boston, pp 728\u2013733","DOI":"10.1109\/PASSAT\/SocialCom.2011.193"},{"key":"507_CR73","first-page":"49","volume":"45","author":"Y Chan","year":"2007","unstructured":"Chan Y, Ng H (2007) Domain adaptation with active learning for word sense disambiguation. Comput Linguist 45: 49\u201356","journal-title":"Comput Linguist"},{"key":"507_CR74","doi-asserted-by":"crossref","unstructured":"Saha A, Rai P, Daume H, Venkatasubramanian S, DuVall S (2011) Active supervised domain adaptation. In: Proceedings of European conference on machine learning and principles and practice of knowledge discovery in databases (ECML\/PKDD 2011), Athens","DOI":"10.1007\/978-3-642-23808-6_7"},{"key":"507_CR75","unstructured":"Shi X, Fan W, Ren J (2008) Actively transfer domain knowledge. In: Proceedings of European conference on machine learning and principles and practice of knowledge discovery in databases (ECML\/PKDD 2011), Antwerp"},{"key":"507_CR76","doi-asserted-by":"crossref","unstructured":"Zhu Z, Zhu X, Ye Y, Guo Y, Xue X (2011) Transfer active learning. In: Proceedings of the 20th ACM international conference on information and knowledge management (CIKM 2011), Glasgow","DOI":"10.1145\/2063576.2063918"},{"issue":"6","key":"507_CR77","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1109\/TSMCB.2011.2157999","volume":"41","author":"X Zhu","year":"2011","unstructured":"Zhu X (2011) Cross-domain semi-supervised learning using feature formulation. IEEE Trans Syst Man Cybern B 41(6): 1627\u20131638","journal-title":"IEEE Trans Syst Man Cybern B"},{"key":"507_CR78","unstructured":"Zhu X, Wu X (2006) Scalable representative instance selection and ranking. In: Proceedings of the 18th international conference on pattern recognition (ICPR 2006), Hongkong, pp 352\u2013355"},{"key":"507_CR79","doi-asserted-by":"crossref","unstructured":"Fu Y, Li B, Zhu X, Zhang C (2011) Do they belong to the same class: active learning by querying pairwise label homogeneity. In: Proceedings of the 20th ACM conference on information and knowledge management (CIKM), Glasgow, pp 2161\u20132164","DOI":"10.1145\/2063576.2063916"},{"key":"507_CR80","doi-asserted-by":"crossref","unstructured":"Donmez P, Carbonell J (2008) Proactive learning: cost-sensitive active learning with multiple imperfect oracles. In: Proceedings of the ACM conference on information and knowledge management (CIKM 2008), pp 619\u2013628","DOI":"10.1145\/1458082.1458165"},{"key":"507_CR81","doi-asserted-by":"crossref","unstructured":"Vijayanarasimhan S, Jain P, Grauman K (2010) Far-sighted active learning on a budget for image and video recognition. In: Proceedings of the 23rd IEEE conference on computer vision and pattern recognition (CVPR 2010). San Francisco, pp 3035\u20133042","DOI":"10.1109\/CVPR.2010.5540055"},{"key":"507_CR82","unstructured":"Abe N, Mamitsuka H (1998) Query learning strategies using boosting and bagging. In: Proceedings of the 15th international conference on machine learning (ICML 1998), pp 1\u20139"},{"key":"507_CR83","doi-asserted-by":"crossref","unstructured":"Bifet A, Holmes G, Pfahringer B, Kirkby R, Gavalda R (2009) New ensemble methods for evolving data streams. In: Proceedings of the 15th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD 2009), Paris, pp 139\u2013148","DOI":"10.1145\/1557019.1557041"},{"key":"507_CR84","doi-asserted-by":"crossref","unstructured":"Fan W, Huang Y, Wang H, Yu P(2004) Active mining of data streams. In: Proceedings of SIAM international conference on data mining (SDM 2004), Florida","DOI":"10.1137\/1.9781611972740.46"},{"issue":"3","key":"507_CR85","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1007\/s10115-005-0217-6","volume":"9","author":"S Brecheisen","year":"2006","unstructured":"Brecheisen S, Kriegel H, Pfeifle M (2006) Multi-step density-based clustering. Knowl Inf Syst 9(3): 284\u2013308","journal-title":"Knowl Inf Syst"},{"issue":"2","key":"507_CR86","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1007\/s10115-009-0280-5","volume":"26","author":"K Hovsepian","year":"2011","unstructured":"Hovsepian K, Anselmo P, Mazumdar S (2011) Supervised inductive learning with Lotka\u2013Volterra derived models. Knowl Inf Syst 26(2): 195\u2013223","journal-title":"Knowl Inf Syst"},{"issue":"3","key":"507_CR87","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1007\/s10115-009-0209-z","volume":"24","author":"Z Zhou","year":"2010","unstructured":"Zhou Z, Li M (2010) Semi-supervised learning by disagreement. Knowl Inf Syst 24(3): 415\u2013439","journal-title":"Knowl Inf Syst"},{"issue":"1","key":"507_CR88","first-page":"1","volume":"13","author":"M Amini","year":"2005","unstructured":"Amini M, Gallinari P (2005) Semi-supervised learning with an imperfect supervisor. Knowl Inf Syst 13(1): 1\u201342","journal-title":"Knowl Inf Syst"},{"key":"507_CR89","first-page":"611","volume":"2811","author":"Y Sinohara","year":"2003","unstructured":"Sinohara Y, Miura T (2003) Active feature selection based on a very limited number of entities. Adv Intell Data Anal 2811: 611\u2013622","journal-title":"Adv Intell Data Anal"},{"key":"507_CR90","unstructured":"Beygelzimer A, Dasgupa S, Langford J (2009) Important weighted active learning. In: Proceedings of the 26th international conference on machine learning (ICML 2009), Montreal, pp 49\u201356"},{"key":"507_CR91","unstructured":"Bishan Y, Sun J, Wang T, Chen Z (2009) Effective multi-label active learning for text classification. In: Proceedings of the ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD 2009), Paris, pp 917\u2013925"},{"key":"507_CR92","unstructured":"Vijayakumar S, Sugyama M, Ogawa H (1998) Training instances selection for optimal generalization with noise variance reduction in neural network. In: Proceedings of the 10th Italian workshop on neural nets, Vietri sul Mare, Italy, pp 1530\u20131547"},{"key":"507_CR93","unstructured":"Culotta A, McCallum A (2005) Reducing labeling effort for stuctured prediction tasks. In: Proceedings of the 20th national conference on artificial intelligence (AAAI 2005), pp 746\u2013751"},{"issue":"3","key":"507_CR94","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1007\/s10115-011-0389-1","volume":"3","author":"W Zhao","year":"2012","unstructured":"Zhao W, He Q, Ma H, Shi Z (2012) Effective semi-supervised document clustering via active learning with instance-level constraints. Knowl Inf Syst 3(3): 569\u2013587","journal-title":"Knowl Inf Syst"},{"issue":"3","key":"507_CR95","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1007\/s10115-010-0331-y","volume":"28","author":"X Zhu","year":"2011","unstructured":"Zhu X, Ding W, Yu P, Zhang C (2011) One-class learning and concept summarization for data streams. Knowl Inf Syst 28(3): 523\u2013553","journal-title":"Knowl Inf Syst"},{"key":"507_CR96","doi-asserted-by":"crossref","unstructured":"Pan S, Zhang Y, Li X (2011) Dynamic classifier ensemble for positive unlabeled text stream classification. Knowl Inf Syst 1\u201321. doi: 10.1007\/s10115-011-0469-2","DOI":"10.1007\/s10115-011-0469-2"},{"key":"507_CR97","doi-asserted-by":"crossref","unstructured":"Liu W, Wang T (2011) Online active multi-field learning for efficent email spam filtering. Knowl Inf Syst 1\u201320. doi: 10.1007\/s10115-011-0461-x","DOI":"10.1007\/s10115-011-0461-x"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-012-0507-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-012-0507-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-012-0507-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T03:06:53Z","timestamp":1687489613000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-012-0507-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,6,6]]},"references-count":97,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2013,5]]}},"alternative-id":["507"],"URL":"https:\/\/doi.org\/10.1007\/s10115-012-0507-8","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,6,6]]}}}