{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T12:12:10Z","timestamp":1763467930929,"version":"3.37.0"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2009,9,30]],"date-time":"2009-09-30T00:00:00Z","timestamp":1254268800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mach Learn"],"published-print":{"date-parts":[[2010,6]]},"DOI":"10.1007\/s10994-009-5141-7","type":"journal-article","created":{"date-parts":[[2009,9,29]],"date-time":"2009-09-29T16:47:16Z","timestamp":1254242836000},"page":"335-354","source":"Crossref","is-referenced-by-count":20,"title":["Learning to detect incidents from noisily labeled data"],"prefix":"10.1007","volume":"79","author":[{"given":"Tom\u00e1\u0161","family":"\u0160ingliar","sequence":"first","affiliation":[]},{"given":"Milo\u0161","family":"Hauskrecht","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2009,9,30]]},"reference":[{"key":"5141_CR1","unstructured":"Antoniades, C. N., & Stephanedes, Y. J. (1996). Single-station incident detection algorithm (SSID) for sparsely instrumented freeway sites. In Transportation engineering."},{"key":"5141_CR2","unstructured":"Bach, F., Heckerman, D., & Horvitz, E. (2005). On the path to an ideal ROC curve: considering cost asymmetry in learning classifiers. In R. G. Cowell & Z. Ghahramani (Eds.), Proceedings of AISTATS05 (pp.\u00a09\u201316)."},{"issue":"4","key":"5141_CR3","first-page":"221","volume":"31","author":"F. Busch","year":"1990","unstructured":"Busch, F., & Fellendorf, M. (1990). Automatic incident detection on motorways. Traffic Engineering and Control, 31(4), 221\u2013227.","journal-title":"Traffic Engineering and Control"},{"issue":"3","key":"5141_CR4","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1109\/TIT.1968.1054142","volume":"14","author":"C. J. K. Chow","year":"1968","unstructured":"Chow, C. J. K., & Liu, C. N. (1968). Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14(3), 462\u2013467.","journal-title":"IEEE Transactions on Information Theory"},{"key":"5141_CR5","unstructured":"Cooper, G., Dash, D., Levander, J., Wong, W.-K., Hogan, W., & Wagner, M. (2004). Bayesian biosurveillance of disease outbreaks. In Proceedings of the 20th annual conference on uncertainty in artificial intelligence (UAI-04) (pp.\u00a094\u2013103)."},{"key":"5141_CR6","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1111\/j.1467-8640.1989.tb00324.x","volume":"5","author":"T. Dean","year":"1989","unstructured":"Dean, T., & Kanazawa, K. (1989). A model for reasoning about persistence and causation. Computational Intelligence, 5, 142\u2013150.","journal-title":"Computational Intelligence"},{"key":"5141_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A. P. Dempster","year":"1977","unstructured":"Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood for incomplete data via the EM algorithm. Journal of Royal Statistical Society, 39, 1\u201338.","journal-title":"Journal of Royal Statistical Society"},{"key":"5141_CR8","unstructured":"Dia, H., Rose, G., & Snell, A. (1996). Comparative performance of freeway automated incident detection algorithms."},{"key":"5141_CR9","doi-asserted-by":"crossref","unstructured":"Fawcett, T., & Provost, C. (1999). Activity monitoring: noticing interesting changes in behavior. In Proceedings of the fifth international conference on knowledge discovery and data mining (KDD-99).","DOI":"10.1145\/312129.312195"},{"key":"5141_CR10","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N. Friedman","year":"1997","unstructured":"Friedman, N., Geiger, D., & Goldszmidt, M. (1997). Bayesian network classifiers. Machine Learning, 29, 131\u2013163.","journal-title":"Machine Learning"},{"key":"5141_CR11","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-40986-1","volume-title":"The physics of traffic: empirical freeway pattern features","author":"B. S. Kerner","year":"2004","unstructured":"Kerner, B. S., & Lieu, H. (2004). The physics of traffic: empirical freeway pattern features. Berlin: Springer."},{"key":"5141_CR12","unstructured":"Mangasarian, O. L., & Musicant, D. R. (2000). Lagrangian support vector machine classification (Technical Report 00-06). Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, June 2000. ftp:\/\/ftp.cs.wisc.edu\/pub\/dmi\/tech-reports\/00-06.ps ."},{"key":"5141_CR13","unstructured":"Martin, P. T., Perrin, H. J., & Hansen, B. G. (2000). Incident detection algorithm evaluation (Technical Report UTL-0700-31). Utah Traffic Laboratory, July 2000."},{"key":"5141_CR14","unstructured":"Michalopoulos, P. G., Jacobson, R. D., Anderson, C. A., & DeBruycker, T. B. (1993). Automatic incident detection through video image processing. In Traffic engineering and control, February 1993."},{"key":"5141_CR15","first-page":"1024","volume":"33","author":"K. Murphy","year":"2001","unstructured":"Murphy, K. (2001). The Bayes net toolbox for Matlab. Computing Science and Statistics, 33, 1024\u20131034.","journal-title":"Computing Science and Statistics"},{"key":"5141_CR16","first-page":"1357","volume":"7","author":"R. S. Niculescu","year":"2006","unstructured":"Niculescu, R. S., Mitchell, T. M., & Bharat Rao, R. (2006). Bayesian network learning with parameter constraints. Journal of Machine Learning Research, 7, 1357\u20131383.","journal-title":"Journal of Machine Learning Research"},{"key":"5141_CR17","unstructured":"Parkanyi, E., & Xie, C. (2005). A complete review of incident detection algorithms and their deployment: what works and what doesn\u2019t (Technical Report NETCR37). New England Transportation Consortium."},{"key":"5141_CR18","unstructured":"Provost, F. J., & Fawcett, T. (1997). Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions. In Knowledge discovery and data mining (pp. 43\u201348)."},{"key":"5141_CR19","unstructured":"Ritchie, S. G., & Abdulhai, B. (1997). Development, testing and evaluation of advanced techniques for freeway incident detection (Technical Report UCB-ITS-PWP-97-22). California Partners for Advanced Transit and Highways (PATH)."},{"key":"5141_CR20","unstructured":"Rose, G., & Dia, H. (1995). Freeway automatic incident detection using artificial neural networks. In Proceedings of the international conference on application of new technology to transport systems (Vol. 1, pp.\u00a0123\u2013140)."},{"volume-title":"Traffic and granular flow","year":"2005","key":"5141_CR21","unstructured":"Schadschneider, A., P\u00f6schel, T., K\u00fchne, R., Schreckenberg, M., & Wolf, D. E. (Eds.) (2005). Traffic and granular flow. Berlin: Springer."},{"key":"5141_CR22","doi-asserted-by":"crossref","unstructured":"Stephanedes, Y. J., & Hourdakis, J. (1996). Transferability of freeway incident detection algorithms (Technical Report Transportation Research Record 1554). Transportation Research Board, National Research Council.","DOI":"10.1177\/0361198196155400122"},{"key":"5141_CR23","unstructured":"\u0160ingliar, T., & Hauskrecht, M. (2006). Towards a learning incident detection system. In ICML 2006 workshop on machine learning algorithms for surveillance and event detection."},{"key":"5141_CR24","doi-asserted-by":"crossref","unstructured":"\u0160ingliar, T., & Hauskrecht, M. (2007). Learning to detect adverse traffic events from noisily labeled data. In LNCS: Vol.\u00a04702. Proceedings of principles and practice of knowledge discovery in databases PKDD 2007 (pp.\u00a0236\u2013247). Berlin: Springer.","DOI":"10.1007\/978-3-540-74976-9_24"},{"key":"5141_CR25","unstructured":"\u0160ingliar, T., & Dash, D. H. (2008). Efficient inference in persistent dynamic Bayesian networks. In Proceedings of the 24th conference on uncertainty in artificial intelligence, UAI-2008 (pp.\u00a0494\u2013502)."},{"issue":"3","key":"5141_CR26","doi-asserted-by":"crossref","first-page":"1697","DOI":"10.1121\/1.428453","volume":"107","author":"P. A. Taylor","year":"2000","unstructured":"Taylor, P. A. (2000). Analysis and synthesis of intonation using the Tilt model. Journal of the Acoustical Society of America, 107(3), 1697\u20131714.","journal-title":"Journal of the Acoustical Society of America"},{"issue":"2","key":"5141_CR27","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.trc.2006.05.004","volume":"14","author":"K. Zhang","year":"2006","unstructured":"Zhang, K., & Taylor, M. A. P. (2006). Towards universal freeway incident detection algorithms. Transportation Research. Part C, Emerging Technologies, 14(2), 68\u201380.","journal-title":"Transportation Research. Part C, Emerging Technologies"}],"container-title":["Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-009-5141-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10994-009-5141-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-009-5141-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T12:20:17Z","timestamp":1739362817000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10994-009-5141-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,9,30]]},"references-count":27,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2010,6]]}},"alternative-id":["5141"],"URL":"https:\/\/doi.org\/10.1007\/s10994-009-5141-7","relation":{},"ISSN":["0885-6125","1573-0565"],"issn-type":[{"type":"print","value":"0885-6125"},{"type":"electronic","value":"1573-0565"}],"subject":[],"published":{"date-parts":[[2009,9,30]]}}}