{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T04:13:00Z","timestamp":1744171980629,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642333613"},{"type":"electronic","value":"9783642333620"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33362-0_44","type":"book-chapter","created":{"date-parts":[[2012,9,11]],"date-time":"2012-09-11T12:21:22Z","timestamp":1347366082000},"page":"566-573","source":"Crossref","is-referenced-by-count":0,"title":["A Structured View on Sources of Uncertainty in Supervised Learning"],"prefix":"10.1007","author":[{"given":"Andreas","family":"Buscherm\u00f6hle","sequence":"first","affiliation":[]},{"given":"Jens","family":"H\u00fclsmann","sequence":"additional","affiliation":[]},{"given":"Werner","family":"Brockmann","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"44_CR1","doi-asserted-by":"crossref","unstructured":"Buscherm\u00f6hle, A., Rosemann, N., Brockmann, W.: Stable Classification in Environments with Varying Degrees of Uncertainty. In: Proc. Int. Conf. on Computational Intelligence for Modelling, Control & Automation (CIMCA), pp. 441\u2013446. IEEE Press (2008)","DOI":"10.1109\/CIMCA.2008.196"},{"key":"44_CR2","doi-asserted-by":"crossref","unstructured":"Buscherm\u00f6hle, A., Schoenke, J., Brockmann, W.: Trusted Learner: An Improved Algorithm for Trusted Incremental Function Approximation. In: Proc. Symp. on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), pp. 16\u201324. IEEE Press (2011)","DOI":"10.1109\/CIDUE.2011.5948489"},{"key":"44_CR3","series-title":"CCIS","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/978-3-642-31709-5_4","volume-title":"Advances on Computational Intelligence","author":"A. Buscherm\u00f6hle","year":"2012","unstructured":"Buscherm\u00f6hle, A., Schoenke, J., Brockmann, W.: Uncertainty and Trust Estimation in Incrementally Learning Function Approximation. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds.) IPMU 2012, Part I. CCIS, vol.\u00a0297, pp. 32\u201341. Springer, Heidelberg (2012)"},{"key":"44_CR4","doi-asserted-by":"crossref","unstructured":"Dallaire, P., Besse, C., Chaib-Draa, B.: Learning Gaussian Process Models from Uncertain Data. In: Proc. Int. Conf. on Neural Information Processing (NIPS), pp. 433\u2013440. Springer (2009)","DOI":"10.1007\/978-3-642-10677-4_49"},{"key":"44_CR5","doi-asserted-by":"crossref","unstructured":"Denoeux, T.: Function Approximation in the Framework of Evidence Theory: A Connectionist Approach. In: Proc. Int. Conf. on Neural Networks (ICNN), pp. 199\u2013203. IEEE Press (1997)","DOI":"10.1109\/ICNN.1997.611664"},{"issue":"5","key":"44_CR6","doi-asserted-by":"publisher","first-page":"804","DOI":"10.1109\/21.376493","volume":"25","author":"T. Denoeux","year":"1995","unstructured":"Denoeux, T.: A k-nearest neighbor classification rule based on Dempster-Shafer theory. IEEE Trans. on Systems, Man and Cybernetics (SMC)\u00a025(5), 804\u2013813 (1995)","journal-title":"IEEE Trans. on Systems, Man and Cybernetics (SMC)"},{"key":"44_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1007\/978-3-642-13657-3_48","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"J. Ge","year":"2010","unstructured":"Ge, J., Xia, Y., Nadungodage, C.: UNN: A Neural Network for Uncertain Data Classification. In: Zaki, M.J., Yu, J.X., Ravindran, B., Pudi, V. (eds.) PAKDD 2010, Part I. LNCS, vol.\u00a06118, pp. 449\u2013460. Springer, Heidelberg (2010)"},{"key":"44_CR8","unstructured":"Girard, A., Murray-Smith, R.: Learning a Gaussian Process Model with Uncertain Inputs. Technical Report TR-2003-144, University of Glasgow (2003)"},{"key":"44_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1007\/978-3-642-14049-5_47","volume-title":"Computational Intelligence for Knowledge-Based Systems Design","author":"L.M.S. Gon\u00e7alves","year":"2010","unstructured":"Gon\u00e7alves, L.M.S., Fonte, C.C., Caetano, M.: Using Uncertainty Information to Combine Soft Classifications. In: H\u00fcllermeier, E., Kruse, R., Hoffmann, F. (eds.) IPMU 2010. LNCS, vol.\u00a06178, pp. 455\u2013463. Springer, Heidelberg (2010)"},{"issue":"1","key":"44_CR10","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1109\/TFUZZ.2008.2005490","volume":"17","author":"J. H\u00fchn","year":"2009","unstructured":"H\u00fchn, J., H\u00fcllermeier, E.: FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers. Trans. on Fuzzy Systems\u00a017(1), 138\u2013149 (2009)","journal-title":"Trans. on Fuzzy Systems"},{"issue":"18","key":"44_CR11","doi-asserted-by":"publisher","first-page":"2337","DOI":"10.1016\/j.fss.2008.01.021","volume":"159","author":"E. H\u00fcllermeier","year":"2008","unstructured":"H\u00fcllermeier, E., Brinker, K.: Learning Valued Preference Structures for Solving Classification Problems. Fuzzy Sets and Systems\u00a0159(18), 2337\u20132352 (2008)","journal-title":"Fuzzy Sets and Systems"},{"key":"44_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/978-3-642-15951-0_6","volume-title":"Scalable Uncertainty Management","author":"E. H\u00fcllermeier","year":"2010","unstructured":"H\u00fcllermeier, E.: Uncertainty in Clustering and Classification. In: Deshpande, A., Hunter, A. (eds.) SUM 2010. LNCS, vol.\u00a06379, pp. 16\u201319. Springer, Heidelberg (2010)"},{"key":"44_CR13","doi-asserted-by":"crossref","unstructured":"H\u00fclsmann, J., Buscherm\u00f6hle, A., Brockmann, W.: Incorporating Dynamic Uncertainties into a Fuzzy Classifier. In: Proc. Conf. of the European Society for Fuzzy Logic and Technology (EUSFLAT), pp. 388\u2013395. Atlantis Press (2011)","DOI":"10.2991\/eusflat.2011.4"},{"key":"44_CR14","doi-asserted-by":"crossref","unstructured":"Klir, G.J.: Uncertainty and Information: Foundations of Generalized Information Theory. Wiley (2006)","DOI":"10.1002\/0471755575"},{"key":"44_CR15","doi-asserted-by":"crossref","unstructured":"Kuncheva, L.I.: Combining Pattern Classifiers: Methods and Algorithms, pp. 111\u2013113. Wiley (2004)","DOI":"10.1002\/0471660264"},{"issue":"4","key":"44_CR16","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1109\/72.143377","volume":"3","author":"J.A. Leonard","year":"1992","unstructured":"Leonard, J.A., Kramer, M.A., Ungar, L.H.: Using Radial Basis Functions to Approximate a Function and its Error Bounds. IEEE Trans. on Neural Networks\u00a03(4), 624\u2013627 (1992)","journal-title":"IEEE Trans. on Neural Networks"},{"key":"44_CR17","doi-asserted-by":"crossref","unstructured":"Lo, J.T., Bassu, D.: Robust approximation of uncertain functions where adaptation is impossible. In: Proc. Int. Joint Conf. on Neural Networks (IJCNN), pp. 1956\u20131961. IEEE Press (2002)","DOI":"10.1109\/IJCNN.2002.1007819"},{"issue":"5","key":"44_CR18","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1080\/01431160600746456","volume":"28","author":"D. Lu","year":"2007","unstructured":"Lu, D., Weng, Q.: A Survey of Image Classification Methods and Techniques for Improving Classification Performance. Int. J. of Remote Sensing\u00a028(5), 823\u2013870 (2007)","journal-title":"Int. J. of Remote Sensing"},{"key":"44_CR19","doi-asserted-by":"crossref","unstructured":"Lughofer, E., Guardiola, C.: Applying Evolving Fuzzy Models with Adaptive Local Error Bars to On-Line Fault Detection. In: Proc. of Genetic and Evolving Fuzzy Systems (GEFS), pp. 35\u201340. IEEE Press (2008)","DOI":"10.1109\/GEFS.2008.4484564"},{"key":"44_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0888-613X(03)00056-2","volume":"35","author":"S. Petit-Renaud","year":"2004","unstructured":"Petit-Renaud, S., Denoeux, T.: Nonparametric Regression Analysis of Uncertain and Imprecise Data Using Belief Functions. Int. J. of Approximate Reasoning\u00a035, 1\u201328 (2004)","journal-title":"Int. J. of Approximate Reasoning"},{"key":"44_CR21","doi-asserted-by":"crossref","unstructured":"Qi, G.J., Hua, X.S., Rui, Y., Tang, J., Zhang, H.J.: Two-dimensional Active Learning for Image Classification. In: Proc. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1\u20138. IEEE Press (2008)","DOI":"10.1109\/CVPR.2008.4587383"},{"key":"44_CR22","doi-asserted-by":"crossref","unstructured":"Qin, B., Xia, Y., Prabhakar, S., Tu, Y.: A Rule-Based Classification Algorithm for Uncertain Data. In: Proc. Int. Conf. on Data Engineerin (ICDE), pp. 1633\u20131640. IEEE Press (2009)","DOI":"10.1109\/ICDE.2009.164"},{"key":"44_CR23","doi-asserted-by":"crossref","unstructured":"Rasmussen, C.E., Williams, C.K.I.: Gaussian Processes for Machine Learning. MIT Press (2006)","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"44_CR24","unstructured":"Settles, B.: Active Learning Literature Survey. Computer Sciences Technical Report 1648. University of Wisconsin (2010)"},{"key":"44_CR25","unstructured":"Tresp, V., Ahmad, S., Neuneier, R.: Training Neural Networks with Deficient Data. In: Advances in Neural Information Processing Systems (NIPS), pp. 128\u2013135. MIT Press (1993)"},{"key":"44_CR26","unstructured":"Tresp, V., Neuneier, R., Ahmad, S.: Efficient Methods for Dealing With Missing Data in Supervised Learning. In: Advances in Neural Information Processing Systems (NIPS), pp. 689\u2013696. MIT Press (1995)"},{"key":"44_CR27","unstructured":"Zhang, J.B.T.: Support vector classification with input data uncertainty. In: Advances in Neural Information Processing Systems, vol.\u00a017, pp. 161\u2013169. MIT Press (2004)"}],"container-title":["Lecture Notes in Computer Science","Scalable Uncertainty Management"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33362-0_44.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T06:17:54Z","timestamp":1744093074000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33362-0_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642333613","9783642333620"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33362-0_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}