乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T05:19:07Z","timestamp":1739510347646,"version":"3.37.0"},"publisher-location":"Berlin, Heidelberg","reference-count":68,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642051784"},{"type":"electronic","value":"9783642051791"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-05179-1_6","type":"book-chapter","created":{"date-parts":[[2009,11,27]],"date-time":"2009-11-27T21:31:01Z","timestamp":1259357461000},"page":"121-142","source":"Crossref","is-referenced-by-count":0,"title":["Towards Multistrategic Statistical Relational Learning"],"prefix":"10.1007","author":[{"given":"Marenglen","family":"Biba","sequence":"first","affiliation":[]},{"given":"Stefano","family":"Ferilli","sequence":"additional","affiliation":[]},{"given":"Floriana","family":"Esposito","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"6_CR1","unstructured":"Arvanitis, A., Muggleton, S.H., Chen, J., Watanabe, H.: Abduction with stochastic logic programs based on a possible worlds semantics. Short Paper Proceedings of the 16th International Conference on Inductive Logic Programming, University of Corunna (2006)"},{"key":"6_CR2","volume-title":"Representing and Reasoning with Probabilistic Knowledge","author":"F. Bacchus","year":"1990","unstructured":"Bacchus, F.: Representing and Reasoning with Probabilistic Knowledge. MIT Press, Cambridge (1990)"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"179","DOI":"10.2307\/2987782","volume":"24","author":"J. Besag","year":"1975","unstructured":"Besag, J.: Statistical analysis of non-lattice data. Statistician\u00a024, 179\u2013195 (1975)","journal-title":"Statistician"},{"key":"6_CR4","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/978-3-540-85928-4_9","volume-title":"Inductive Logic Programming","author":"M. Biba","year":"2008","unstructured":"Biba, M., Ferilli, S., Esposito, F.: Discriminative structure learning of markov logic networks. In: \u017delezn\u00fd, F., Lavra\u010d, N. (eds.) ILP 2008. LNCS (LNAI), vol.\u00a05194, pp. 59\u201376. Springer, Heidelberg (2008)"},{"key":"6_CR5","unstructured":"Biba, M., Ferilli, S., Esposito, F.: Structure learning of markov logic networks through iterated local search. In: Proceedings of 18th European Conference on Artificial Intelligence (ECAI). Frontiers in Artificial Intelligence and Applications, vol.\u00a0178, pp. 361\u2013365 (2008)"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Chen, J., Muggleton, S., Santos, J.: Abductive stochastic logic programs for metabolic network inhibition learning. In: Proceedings of Workshop Mining and Learning with Graphs, MLG 2007 (2007)","DOI":"10.7551\/mitpress\/7432.003.0013"},{"key":"6_CR7","first-page":"293","volume-title":"Logic and databases","author":"K. Clark","year":"1978","unstructured":"Clark, K.: Negation as failure. In: Gallaire, H., Minker, J. (eds.) Logic and databases, pp. 293\u2013322. Plenum Press, New York (1978)"},{"key":"6_CR8","unstructured":"Cumby, C., Roth, D.: Feature extraction languages for propositionalized relational learning. In: Proceedings of the IJCAI 2003 Workshop on Learning Statistical Models from Relational Data, Acapulco, Mexico, IJCAII, pp. 24\u201331 (2003)"},{"issue":"3","key":"6_CR9","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1023\/A:1010924021315","volume":"44","author":"J. Cussens","year":"2001","unstructured":"Cussens, J.: Parameter estimation in stochastic logic programs. Machine Learning\u00a044(3), 245\u2013271 (2001)","journal-title":"Machine Learning"},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1023\/A:1007361123060","volume":"26","author":"L. Raedt De","year":"1997","unstructured":"De Raedt, L., Dehaspe, L.: Clausal discovery. Machine Learning\u00a026, 99\u2013146 (1997)","journal-title":"Machine Learning"},{"volume-title":"Probabilistic Inductive Logic Programming - Theory and Applications","year":"2008","key":"6_CR11","unstructured":"De Raedt, L., Frasconi, P., Kersting, K., Muggleton, S. (eds.): Probabilistic Inductive Logic Programming - Theory and Applications. Springer, Heidelberg (2008)"},{"key":"6_CR12","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1109\/34.588021","volume":"19","author":"S. Pietra Della","year":"1997","unstructured":"Della Pietra, S., Della Pietra, V., Laferty, J.: Inducing features of random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a019, 380\u2013392 (1997)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"6_CR13","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.: Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society, Series B\u00a039, 1\u201338 (1977)","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"6_CR14","first-page":"234","volume-title":"Proceedings of the 6th international conference on logic programming","author":"K. Eshghi","year":"1989","unstructured":"Eshghi, K., Kowalski, R.: Abduction compared to negation by failure. In: Levi, G., Martelli, M. (eds.) Proceedings of the 6th international conference on logic programming, pp. 234\u2013255. The MIT Press, Cambridge (1989)"},{"key":"6_CR15","unstructured":"Esposito, F., Lamma, E., Malerba, P., Mello, D., Milano, M., Riguzzi, F., Semeraro, G.: Learning abductive logic programs. In: Proceedings of the ECAI 1996 workshop on abductive and inductive reasoning, Budapest, pp. 23\u201330 (1996)"},{"issue":"1-2","key":"6_CR16","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1023\/A:1007638124237","volume":"38","author":"F. Esposito","year":"2000","unstructured":"Esposito, F., Semeraro, G., Fanizzi, N., Ferilli, S.: Multistrategy theory revision: induction and abduction in inthelex. Machine Learning\u00a038(1-2), 133\u2013156 (2000)","journal-title":"Machine Learning"},{"key":"6_CR17","unstructured":"Friedman, N.: Learning belief networks in the presence of missing values and hidden variables. In: Fourteenth Inter. Conf. on Machine Learning, ICML 1997 (1997)"},{"issue":"1","key":"6_CR18","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1023\/A:1006524209794","volume":"13","author":"J. Furnkranz","year":"1999","unstructured":"Furnkranz, J.: Separate-and-conquer rule learning. Artificial Intelligence Review\u00a013(1), 3\u201354 (1999)","journal-title":"Artificial Intelligence Review"},{"key":"6_CR19","volume-title":"Logical foundations of artificial intelligence","author":"M.R. Genesereth","year":"1987","unstructured":"Genesereth, M.R., Nilsson, N.J.: Logical foundations of artificial intelligence. Morgan Kaufmann, San Mateo (1987)"},{"key":"6_CR20","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/7432.001.0001","volume-title":"Introduction to Statistical Relational Learning","author":"L. Getoor","year":"2007","unstructured":"Getoor, L., Taskar, B.: Introduction to Statistical Relational Learning. MIT, Cambridge (2007)"},{"key":"6_CR21","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1111\/j.2517-6161.1992.tb01443.x","volume":"54","author":"C.J. Geyer","year":"1992","unstructured":"Geyer, C.J., Thompson, E.A.: Constrained monte carlo maximum likelihood for dependent data. Journal of the Royal Statistical Society, Series B\u00a054, 657\u2013699 (1992)","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"6_CR22","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/0004-3702(90)90019-V","volume":"46","author":"J. Halpern","year":"1990","unstructured":"Halpern, J.: An analysis of first-order logics of probability. Artificial Intelligence\u00a046, 311\u2013350 (1990)","journal-title":"Artificial Intelligence"},{"key":"6_CR23","volume-title":"Stochastic Local Search: Foundations and Applications","author":"H.H. Hoos","year":"2005","unstructured":"Hoos, H.H., Stutzle, T.: Stochastic Local Search: Foundations and Applications. Morgan Kaufmann, San Francisco (2005)"},{"key":"6_CR24","doi-asserted-by":"crossref","unstructured":"Huynh, T.N., Mooney, R.J.: Discriminative structure and parameter learning for markov logic networks. In: Proc. of the 25th International Conference on Machine Learning, ICML (2008)","DOI":"10.1145\/1390156.1390209"},{"key":"6_CR25","unstructured":"Kakas, A., Mancarella, P.: On the relation of truth maintenance and abduction. In: Proc. 1st Pacific Rim International Conference on Artificial Intelligence (1990)"},{"issue":"3","key":"6_CR26","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/BF03037531","volume":"18","author":"A. Kakas","year":"2000","unstructured":"Kakas, A., Riguzzi, F.: Learning with abduction. New Generation Computing\u00a018(3), 243\u2013294 (2000)","journal-title":"New Generation Computing"},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"Kakas, M., Kowalski, R., Toni, F.: Abductive logic programming. J. Logic. Comput., 718\u2013770 (1993)","DOI":"10.1093\/logcom\/2.6.719"},{"key":"6_CR28","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1007\/3-540-44797-0_10","volume-title":"Inductive Logic Programming","author":"K. Kersting","year":"2001","unstructured":"Kersting, K., De Raedt, L.: Towards combining inductive logic programming with bayesian networks. In: Rouveirol, C., Sebag, M. (eds.) ILP 2001. LNCS (LNAI), vol.\u00a02157, pp. 118\u2013131. Springer, Heidelberg (2001)"},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Kok, S., Domingos, P.: Learning the structure of markov logic networks. In: Proc. 22nd Int\u2019l Conf. on Machine Learning, pp. 441\u2013448 (2005)","DOI":"10.1145\/1102351.1102407"},{"key":"6_CR30","unstructured":"Koller, D., Levy, A., Pfeffer, A.: P-classic: A tractable probabilistic description logic. In: Proc. of NCAI 1997, pp. 360\u2013397 (1997)"},{"key":"6_CR31","volume-title":"Abductive and inductive reasoning: essays on their relation and integration","author":"E. Lamma","year":"2000","unstructured":"Lamma, E., Mello, P., Milano, M., Riguzzi, F., Esposito, F., Ferilli, S., Semeraro, G.: Cooperation of abduction and induction in logic programming. In: Abductive and inductive reasoning: essays on their relation and integration. Kluwer, Dordrecht (2000)"},{"key":"6_CR32","unstructured":"Landwehr, N., Kersting, K., De Raedt, L.: Integrating naive bayes and foil. Journal of Machine Learning Research, 481\u2013507 (2007)"},{"key":"6_CR33","unstructured":"Lavrac, N., Dzeroski, S.: Inductive Logic Programming: Techniques and applications. UK, Ellis Horwood, Chichester (1994)"},{"key":"6_CR34","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1007\/BF01589116","volume":"45","author":"D.C. Liu","year":"1989","unstructured":"Liu, D.C., Nocedal, J.: On the limited memory bfgs method for large scale optimization. Mathematical Programming\u00a045, 503\u2013528 (1989)","journal-title":"Mathematical Programming"},{"key":"6_CR35","first-page":"321","volume-title":"Handbook of Metaheuristics","author":"H.R. Loureno","year":"2002","unstructured":"Loureno, H.R., Martin, O., Stutzle, T.: Iterated local search. In: Glover, F., Kochenberger, G. (eds.) Handbook of Metaheuristics, pp. 321\u2013353. Kluwer Academic Publishers, Norwell (2002)"},{"key":"6_CR36","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1007\/978-3-540-74976-9_21","volume-title":"Knowledge Discovery in Databases: PKDD 2007","author":"D. Lowd","year":"2007","unstructured":"Lowd, D., Domingos, P.: Efficient weight learning for markov logic networks. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladeni\u010d, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol.\u00a04702, pp. 200\u2013211. Springer, Heidelberg (2007)"},{"key":"6_CR37","unstructured":"McCallum, A.: Efficiently inducing features of conditional random fields. In: Proc. UAI 2003, pp. 403\u2013410 (2003)"},{"key":"6_CR38","doi-asserted-by":"crossref","unstructured":"Michalski, R.S.: Inferential theory of learning. developing foundations for multistrategy learning. In: Michalski, R.S., Tecuci, G. (eds.) Machine Learning. A Multistrategy Approach, vol.\u00a0IV, pp. 3\u201361. Morgan Kaufmann, San Francisco","DOI":"10.1007\/978-1-4615-3202-6_2"},{"key":"6_CR39","doi-asserted-by":"crossref","unstructured":"Mihalkova, L., Mooney, R.J.: Bottom-up learning of markov logic network structure. In: Proc. 24th Int\u2019l Conf. on Machine Learning, pp. 625\u2013632 (2007)","DOI":"10.1145\/1273496.1273575"},{"key":"6_CR40","volume-title":"Machine Learning","author":"T.M. Mitchell","year":"1997","unstructured":"Mitchell, T.M.: Machine Learning. The McGraw-Hill Companies, Inc., New York (1997)"},{"key":"6_CR41","volume-title":"Advances in inductive logic programming","author":"S. Muggleton","year":"1996","unstructured":"Muggleton, S.: Stochastic logic programs. In: De Raedt, L. (ed.) Advances in inductive logic programming. IOS Press, Amsterdam (1996)"},{"key":"6_CR42","doi-asserted-by":"crossref","unstructured":"Muggleton, S.H.: Inverse entailment and progol. New Generation Computing Journal, 245\u2013286 (1995)","DOI":"10.1007\/BF03037227"},{"key":"6_CR43","first-page":"1300","volume-title":"Proc. 16th Int\u2019l Joint Conf. on AI (IJCAI)","author":"D. Koller","year":"1999","unstructured":"Koller, D., Friedman, N., Getoor, L., Pfeffer, A.: Learning probabilistic relational models. In: Proc. 16th Int\u2019l Joint Conf. on AI (IJCAI), pp. 1300\u20131307. Morgan Kaufmann, San Francisco (1999)"},{"key":"6_CR44","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/S0304-3975(96)00128-4","volume":"171","author":"L. Ngo","year":"1997","unstructured":"Ngo, L., Haddawy, P.: Answering queries from context-sensitive probabilistic knowledge bases. Theoretical Computer Science\u00a0171, 147\u2013177 (1997)","journal-title":"Theoretical Computer Science"},{"key":"6_CR45","doi-asserted-by":"crossref","DOI":"10.1007\/3-540-62927-0","volume-title":"Foundations of Inductive Logic Programming","author":"S.-H. Nienhuys-Cheng","year":"1997","unstructured":"Nienhuys-Cheng, S.-H., de Wolf, R.: Foundations of Inductive Logic Programming. Springer, Heidelberg (1997)"},{"key":"6_CR46","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/0004-3702(86)90031-7","volume":"28","author":"N. Nilsson","year":"1986","unstructured":"Nilsson, N.: Probabilistic logic. Artificial Intelligence\u00a028, 71\u201387 (1986)","journal-title":"Artificial Intelligence"},{"key":"6_CR47","first-page":"741","volume-title":"Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence","author":"H. Pasula","year":"2001","unstructured":"Pasula, H., Russell, S.: Approximate inference for first-order probabilistic languages. In: Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, pp. 741\u2013748. Morgan Kaufmann, Seattle (2001)"},{"key":"6_CR48","volume-title":"Probabilistic reasoning in intelligent systems: Networks of plausible inference","author":"J. Pearl","year":"1988","unstructured":"Pearl, J.: Probabilistic reasoning in intelligent systems: Networks of plausible inference. Morgan Kaufmann, San Francisco (1988)"},{"key":"6_CR49","first-page":"153","volume":"5","author":"G.D. Plotkin","year":"1970","unstructured":"Plotkin, G.D.: A note on inductive generalization. Machine Intelligence\u00a05, 153\u2013163 (1970)","journal-title":"Machine Intelligence"},{"key":"6_CR50","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/0004-3702(88)90077-X","volume":"36","author":"D. Poole","year":"1988","unstructured":"Poole, D.: A logical framework for default reasoning. Artif. Intell.\u00a036, 27\u201347 (1988)","journal-title":"Artif. Intell."},{"key":"6_CR51","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/0004-3702(93)90061-F","volume":"64","author":"D. Poole","year":"1993","unstructured":"Poole, D.: Probabilistic horn abduction and bayesian networks. Artificial Intelligence\u00a064, 81\u2013129 (1993)","journal-title":"Artificial Intelligence"},{"key":"6_CR52","first-page":"458","volume-title":"Proc. 21st Nat\u2019l Conf. on AI (AAAI)","author":"H. Poon","year":"2006","unstructured":"Poon, H., Domingos, P.: Sound and efficient inference with probabilistic and deterministic dependencies. In: Proc. 21st Nat\u2019l Conf. on AI (AAAI), pp. 458\u2013463. AAAI Press, Menlo Park (2006)"},{"key":"6_CR53","volume-title":"Proc. 23rd Nat\u2019l Conf. on Artificial Intelligence","author":"H. Poon","year":"2008","unstructured":"Poon, H., Domingos, P., Sumner, M.: A general method for reducing the complexity of relational inference and its application to mcmc. In: Proc. 23rd Nat\u2019l Conf. on Artificial Intelligence. AAAI Press, Chicago (2008)"},{"key":"6_CR54","first-page":"92","volume-title":"Proceedings of the Second International Workshop on Multi-Relational Data Mining","author":"A. Popescul","year":"2003","unstructured":"Popescul, A., Ungar, L.H.: Structural logistic regression for link analysis. In: Proceedings of the Second International Workshop on Multi-Relational Data Mining, pp. 92\u2013106. ACM Press, Washington (2003)"},{"key":"6_CR55","first-page":"239","volume":"5","author":"J.R. Quinlan","year":"1990","unstructured":"Quinlan, J.R.: Learning logical definitions from relations. Machine Learning\u00a05, 239\u2013266 (1990)","journal-title":"Machine Learning"},{"issue":"1","key":"6_CR56","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/S0004-3702(97)00041-6","volume":"95","author":"L. Raedt De","year":"1997","unstructured":"De Raedt, L.: Logical settings for concept-learning. Artificial Intelligence\u00a095(1), 197\u2013201 (1997)","journal-title":"Artificial Intelligence"},{"key":"6_CR57","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/0004-3702(80)90014-4","volume":"13","author":"R. Reiter","year":"1980","unstructured":"Reiter, R.: A logic for default reasoning. J. Artif. Intell.\u00a0(13), 81\u2013132 (1980)","journal-title":"J. Artif. Intell"},{"key":"6_CR58","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10994-006-5833-1","volume":"62","author":"M. Richardson","year":"2006","unstructured":"Richardson, M., Domingos, P.: Markov logic networks. Machine Learning\u00a062, 107\u2013236 (2006)","journal-title":"Machine Learning"},{"key":"6_CR59","first-page":"517","volume-title":"Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence","author":"V. Santos Costa","year":"2003","unstructured":"Santos Costa, V., Page, D., Qazi, M., Cussens, J.: Clp(bn): Constraint logic programming for probabilistic knowledge. In: Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence, pp. 517\u2013524. Morgan Kaufmann, Acapulco (2003)"},{"key":"6_CR60","first-page":"1330","volume-title":"Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence","author":"T. Sato","year":"1997","unstructured":"Sato, T., Kameya, Y.: Prism: A symbolic-statistical modeling language. In: Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, pp. 1330\u20131335. Morgan Kaufmann, Nagoya (1997)"},{"key":"6_CR61","unstructured":"Sato, T., Kameya, Y.: A viterbi-like algorithm and em learning for statistical abduction. In: Proceedings of UAI 2000 Workshop on Fusion of Domain Knowledge with Data for Decision Support (2000)"},{"key":"6_CR62","doi-asserted-by":"crossref","unstructured":"Sha, F., Pereira, F.: Shallow parsing with conditional random fields. In: Proc. HLT-NAACL 2003, pp. 134\u2013141 (2003)","DOI":"10.3115\/1073445.1073473"},{"key":"6_CR63","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/1192.001.0001","volume-title":"Algorithmic Program Debugging","author":"E. Shapiro","year":"1983","unstructured":"Shapiro, E.: Algorithmic Program Debugging. MIT Press, Cambridge (1983)"},{"key":"6_CR64","first-page":"868","volume-title":"Proc. 20th Nat\u2019l Conf. on AI (AAAI)","author":"P. Singla","year":"2005","unstructured":"Singla, P., Domingos, P.: Discriminative training of markov logic networks. In: Proc. 20th Nat\u2019l Conf. on AI (AAAI), pp. 868\u2013873. AAAI Press, Menlo Park (2005)"},{"key":"6_CR65","unstructured":"Singla, P., Domingos, P.: Markov logic in infinite domains. In: Proc. 23rd UAI, pp. 368\u2013375. AUAI Press (2007)"},{"key":"6_CR66","unstructured":"Srinivasan, A.: The Aleph Manual, http:\/\/www.comlab.ox.ac.uk\/oucl\/~esearch\/areas\/machlearn\/Aleph\/"},{"key":"6_CR67","first-page":"485","volume-title":"Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence","author":"B. Taskar","year":"2002","unstructured":"Taskar, B., Abbeel, P., Koller, D.: Discriminative probabilistic models for relational data. In: Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence, pp. 485\u2013492. Morgan Kaufmann, Edmonton (2002)"},{"key":"6_CR68","doi-asserted-by":"crossref","unstructured":"Wellman, J.S., Breese, M., Goldman, R.P.: From knowledge bases to decision models. Knowledge Engineering Review\u00a07 (1992)","DOI":"10.1017\/S0269888900006147"}],"container-title":["Studies in Computational Intelligence","Advances in Machine Learning II"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-05179-1_6.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T12:46:58Z","timestamp":1739450818000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-05179-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642051784","9783642051791"],"references-count":68,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-05179-1_6","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2010]]}}}