{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T00:17:26Z","timestamp":1725668246119},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642284861"},{"type":"electronic","value":"9783642284878"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-28487-8_31","type":"book-chapter","created":{"date-parts":[[2012,3,14]],"date-time":"2012-03-14T07:34:34Z","timestamp":1331710474000},"page":"301-309","source":"Crossref","is-referenced-by-count":1,"title":["Learning and Inference Order in Structured Output Elements Classification"],"prefix":"10.1007","author":[{"given":"Tomasz","family":"Kajdanowicz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Przemyslaw","family":"Kazienko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"31_CR1","doi-asserted-by":"crossref","unstructured":"Collins, M.: Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In: Conference on Empirical Methods in Natural Language Processing, vol.\u00a010, pp. 1\u20138 (2002)","DOI":"10.3115\/1118693.1118694"},{"key":"31_CR2","doi-asserted-by":"crossref","unstructured":"Daume, H., Marcu, D.: Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction. In: International Conference on Machine Learning, ICML 2005 (2005)","DOI":"10.1145\/1102351.1102373"},{"key":"31_CR3","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/s10994-009-5106-x","volume":"75","author":"H. Daume","year":"2009","unstructured":"Daume, H., Langford, J., Marcu, D.: Search-based structured prediction. Machine Learning\u00a075, 297\u2013325 (2009)","journal-title":"Machine Learning"},{"key":"31_CR4","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y. Freund","year":"1997","unstructured":"Freund, Y., Schapire, R.: A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences\u00a055, 119\u2013139 (1997)","journal-title":"Journal of Computer and System Sciences"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Ghamrawi, N., McCallum, A.: Collective multi-label classification. In: Proceedings of the 3005 ACM Conference on Information and Knowledge Management, pp. 195\u2013200 (2005)","DOI":"10.21236\/ADA440081"},{"key":"31_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/978-3-642-10268-4_40","volume-title":"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications","author":"T. Kajdanowicz","year":"2009","unstructured":"Kajdanowicz, T., Kazienko, P.: Prediction of Sequential Values for Debt Recovery. In: Bayro-Corrochano, E., Eklundh, J.-O. (eds.) CIARP 2009. LNCS, vol.\u00a05856, pp. 337\u2013344. Springer, Heidelberg (2009)"},{"issue":"3","key":"31_CR7","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/s00354-010-0304-4","volume":"29","author":"T. Kajdanowicz","year":"2011","unstructured":"Kajdanowicz, T., Kazienko, P.: Boosting-based Sequence Prediction. New Generation Computing\u00a029(3), 293\u2013307 (2011)","journal-title":"New Generation Computing"},{"key":"31_CR8","first-page":"839","volume":"20","author":"P. Kazienko","year":"2010","unstructured":"Kazienko, P., Kajdanowicz, T.: Base Classifiers in Boosting-based Classification of Sequential Structures. Neural Network World\u00a020, 839\u2013851 (2010)","journal-title":"Neural Network World"},{"key":"31_CR9","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1007\/978-3-642-21222-2_27","volume-title":"Hybrid Artificial Intelligent Systems","author":"T. Kajdanowicz","year":"2011","unstructured":"Kajdanowicz, T., Kazienko, P.: Structured Output Element Ordering in Boosting-Based Classification. In: Corchado, E., Kurzy\u0144ski, M., Wo\u017aniak, M. (eds.) HAIS 2011, Part II. LNCS (LNAI), vol.\u00a06679, pp. 221\u2013228. Springer, Heidelberg (2011)"},{"key":"31_CR10","unstructured":"Lafferty, J., McCallum, A., Pereira, F.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: International Conference on Machine Learning, ICML 2001, pp. 282\u2013289 (2001)"},{"key":"31_CR11","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1023\/A:1007649029923","volume":"39","author":"R.E. Schapire","year":"2000","unstructured":"Schapire, R.E., Singer, Y.: Boostexter: a boosting-based system for text categorization. Machine Learning\u00a039, 135\u2013168 (2000)","journal-title":"Machine Learning"},{"key":"31_CR12","first-page":"25","volume-title":"Advances in Neural Information Processing Systems","author":"B. Taskar","year":"2004","unstructured":"Taskar, B., Guestrin, C., Koller, D.: Max-margin Markov networks. In: Advances in Neural Information Processing Systems, vol.\u00a016, pp. 25\u201332. MIT Press, Cambridge (2004)"},{"key":"31_CR13","unstructured":"Theodoris, S., Koutroumbas, K.: Pattern Recognition. Elsevier (2009)"},{"key":"31_CR14","first-page":"1453","volume":"6","author":"I. Tsochantaridis","year":"2005","unstructured":"Tsochantaridis, I., Hofmann, T., Thorsten, J., Altun, Y.: Large margin methods for structured and interdependent output variables. Journal of Machine Learning Research\u00a06, 1453\u20131484 (2005)","journal-title":"Journal of Machine Learning Research"},{"key":"31_CR15","doi-asserted-by":"publisher","first-page":"1338","DOI":"10.1109\/TKDE.2006.162","volume":"18","author":"M.L. Zhang","year":"2006","unstructured":"Zhang, M.L., Zhou, Z.H.: Multi-label neural networks with applications to functional genomics and text categorization. IEEE Transactions on Knowledge and Data Engineering\u00a018, 1338\u20131351 (2006)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-28487-8_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,28]],"date-time":"2019-04-28T17:29:22Z","timestamp":1556472562000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-28487-8_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642284861","9783642284878"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-28487-8_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}