{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T01:15:09Z","timestamp":1790903709260,"version":"4.1.0"},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540292449","type":"print"},{"value":"9783540316657","type":"electronic"}],"license":[{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11564126_3","type":"book-chapter","created":{"date-parts":[[2005,11,4]],"date-time":"2005-11-04T05:24:55Z","timestamp":1131081895000},"page":"3-5","source":"Crossref","is-referenced-by-count":4,"title":["Statistical Relational Learning: An Inductive Logic Programming Perspective"],"prefix":"10.1007","author":[{"given":"Luc","family":"De Raedt","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"3_CR1","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1145\/775047.775068","volume-title":"Proceedings of the Eighth International Conference on Knowledge Discovery and Data Mining (KDD 2002)","author":"C.R. Anderson","year":"2002","unstructured":"Anderson, C.R., Domingos, P., Weld, D.S.: Relational Markov Models and their Application to Adaptive Web Navigation. In: Hand, D., Keim, D., Za\u00efne, O.R., Goebel, R. (eds.) Proceedings of the Eighth International Conference on Knowledge Discovery and Data Mining (KDD 2002), Edmonton, Canada, pp. 143\u2013152. ACM Press, New York (2002)"},{"key":"3_CR2","first-page":"126","volume-title":"Proceedings of the Fifteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI 1999)","author":"J. Cussens","year":"1999","unstructured":"Cussens, J.: Loglinear models for first-order probabilistic reasoning. In: Laskey, K.B., Prade, H. (eds.) Proceedings of the Fifteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI 1999), Stockholm, Sweden, pp. 126\u2013133. Morgan Kaufmann, San Francisco (1999)"},{"issue":"1","key":"3_CR3","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"},{"issue":"1","key":"3_CR4","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1145\/959242.959247","volume":"5","author":"L. Raedt De","year":"2003","unstructured":"De Raedt, L., Kersting, K.: Probabilistic Logic Learning. ACM-SIGKDD Explorations: Special issue on Multi-Relational Data Mining\u00a05(1), 31\u201348 (2003)","journal-title":"ACM-SIGKDD Explorations: Special issue on Multi-Relational Data Mining"},{"key":"3_CR5","unstructured":"Dietterich, T., Getoor, L., Murphy, K. (eds.): Working Notes of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields, SRL 2004 (2004)"},{"key":"3_CR6","first-page":"1300","volume-title":"Proceedings of the Sixteenth International Joint Conferences on Artificial Intelligence (IJCAI 1999)","author":"N. Friedman","year":"1999","unstructured":"Friedman, N., Getoor, L., Koller, D., Pfeffer, A.: Learning probabilistic relational models. In: Dean, T. (ed.) Proceedings of the Sixteenth International Joint Conferences on Artificial Intelligence (IJCAI 1999), Stockholm, Sweden, pp. 1300\u20131309. Morgan Kaufmann, San Francisco (1999)"},{"key":"3_CR7","unstructured":"Getoor, L., Jensen, D. (eds.): Working Notes of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, SRL 2003 (2003)"},{"key":"3_CR8","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1007\/3-540-44797-0_9","volume-title":"Inductive Logic Programming","author":"K. Kersting","year":"2001","unstructured":"Kersting, K., De Raedt, L.: Adaptive bayesian logic programs. In: Rouveirol, C., Sebag, M. (eds.) ILP 2001. LNCS (LNAI), vol.\u00a02157, p. 104. Springer, Heidelberg (2001)"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Kersting, K., De Raedt, L.: Bayesian logic programs. Technical Report 151, University of Freiburg, Institute for Computer Science (April 2001)","DOI":"10.1007\/3-540-44797-0_9"},{"key":"3_CR10","series-title":"Lecture Notes in Artificial Intelligence","volume-title":"Inductive Logic Programming","author":"K. Kersting","year":"2001","unstructured":"Kersting, K., De Raedt, L.: Towards Combining Inductive Logic Programming and Bayesian Networks. In: Rouveirol, C., Sebag, M. (eds.) ILP 2001. LNCS (LNAI), vol.\u00a02157. Springer, Heidelberg (2001)"},{"key":"3_CR11","first-page":"192","volume-title":"Proceedings of the Pacific Symposium on Biocomputing","author":"K. Kersting","year":"2003","unstructured":"Kersting, K., Raiko, T., Kramer, S., De Raedt, L.: Towards discovering structural signatures of protein folds based on logical hidden markov models. In: Altman, R.B., Dunker, A.K., Hunter, L., Jung, T.A., Klein, T.E. (eds.) Proceedings of the Pacific Symposium on Biocomputing, Kauai, Hawaii, USA, pp. 192\u2013203. World Scientific, Singapore (2003)"},{"key":"3_CR12","volume-title":"Proceedings of the 20th National Conference on Artificial Intelligence","author":"N. Landwehr","year":"2005","unstructured":"Landwehr, N., Kersting, K., De Raedt, L.: Nfoil: Integrating naive bayes and foil. In: Proceedings of the 20th National Conference on Artificial Intelligence. AAAI Press, Menlo Park (2005)"},{"key":"3_CR13","volume-title":"Advances in Inductive Logic Programming","author":"S.H. Muggleton","year":"1996","unstructured":"Muggleton, S.H.: Stochastic logic programs. In: De Raedt, L. (ed.) Advances in Inductive Logic Programming. IOS Press, Amsterdam (1996)"},{"key":"3_CR14","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":"3_CR15","doi-asserted-by":"crossref","unstructured":"Quinlan, J.R., Cameron-Jones, R.M.: Induction of logic programs:FOIL and related systems. New Generation Computing, 287\u2013312 (1995)","DOI":"10.1007\/BF03037228"},{"key":"3_CR16","volume-title":"Proceedings of the 15th International Conference on Algorithmic Learning Theory","author":"L. Raedt De","year":"2004","unstructured":"De Raedt, L., Kersting, K.: Probabilistic inductive logic programming. In: Proceedings of the 15th International Conference on Algorithmic Learning Theory. Springer, Heidelberg (2004)"},{"key":"3_CR17","volume-title":"Proceedings of the 20th National Conference on Artificial Intelligence","author":"L. Raedt De","year":"2005","unstructured":"De Raedt, L., Kersting, K., Torge, S.: Towards learning stochastic logic programs from proof-banks. In: Proceedings of the 20th National Conference on Artificial Intelligence. AAAI Press, Menlo Park (2005)"},{"key":"3_CR18","first-page":"715","volume-title":"Proceedings of the Twelfth International Conference on Logic Programming (ICLP 1995)","author":"T. Sato","year":"1995","unstructured":"Sato, T.: A Statistical Learning Method for Logic Programs with Distribution Semantics. In: Sterling, L. (ed.) Proceedings of the Twelfth International Conference on Logic Programming (ICLP 1995), Tokyo, Japan, 1995, pp. 715\u2013729. MIT Press, Cambridge (1995)"},{"key":"3_CR19","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1613\/jair.912","volume":"15","author":"T. Sato","year":"2001","unstructured":"Sato, T., Kameya, Y.: Parameter learning of logic programs for symbolic-statistical modeling. Journal of Artificial Intelligence Research\u00a015, 391\u2013454 (2001)","journal-title":"Journal of Artificial Intelligence Research"}],"container-title":["Lecture Notes in Computer Science","Knowledge Discovery in Databases: PKDD 2005"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11564126_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,19]],"date-time":"2019-05-19T13:39:38Z","timestamp":1558273178000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11564126_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540292449","9783540316657"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/11564126_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005]]}}}