{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:42:37Z","timestamp":1725518557528},"publisher-location":"Berlin, Heidelberg","reference-count":91,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540850656"},{"type":"electronic","value":"9783540850663"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-85066-3_12","type":"book-chapter","created":{"date-parts":[[2008,9,9]],"date-time":"2008-09-09T09:24:44Z","timestamp":1220952284000},"page":"289-317","source":"Crossref","is-referenced-by-count":12,"title":["A Survey of First-Order Probabilistic Models"],"prefix":"10.1007","author":[{"given":"Rodrigo de Salvo","family":"Braz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eyal","family":"Amir","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Roth","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"12_CR1","volume-title":"Artificial Intelligence: A Modern Approach","author":"S. Russell","year":"2003","unstructured":"Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice-Hall, Englewood Cliffs (2003)","edition":"2nd edn."},{"key":"12_CR2","volume-title":"Rule-Based Expert Systems: The MYCIN experiments of the Stanford Heuristic Programming Project","author":"B. Buchanan","year":"1984","unstructured":"Buchanan, B., Shortliffe, E.: Rule-Based Expert Systems: The MYCIN experiments of the Stanford Heuristic Programming Project. Addison-Wesley, Reading (1984)"},{"key":"12_CR3","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 Mateo (Calif.) (1988)"},{"issue":"1","key":"12_CR4","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/0004-3702(86)90031-7","volume":"28","author":"N.J. Nilsson","year":"1986","unstructured":"Nilsson, N.J.: Probabilistic logic. Artificial intelligence 28(1), 71\u201388 (1986)","journal-title":"Artificial intelligence"},{"key":"12_CR5","volume-title":"Representing and reasoning with probabilistic knowledge: a logical approach to probabilities","author":"F. Bacchus","year":"1990","unstructured":"Bacchus, F.: Representing and reasoning with probabilistic knowledge: a logical approach to probabilities. MIT Press, Cambridge (1990)"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Halpern, J.Y.: An analysis of first-order logics of probability. In: Proceedings of IJCAI 1989, 11th International Joint Conference on Artificial Intelligence, Detroit, US, pp. 1375\u20131381 (1990)","DOI":"10.1016\/0004-3702(90)90019-V"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Shortliffe, E.H.: Mycin: a rule-based computer program for advising physicians regarding antimicrobial therapy selection. PhD thesis, Stanford University (1975)","DOI":"10.1145\/1408800.1408906"},{"key":"12_CR8","first-page":"455","volume-title":"Machine Intelligence","author":"K.L. Clark","year":"1982","unstructured":"Clark, K.L., McCabe, F.G.: Prolog: A language for implementing expert systems. In: Hayes, J.E., Michie, D., Pao, Y.H. (eds.) Machine Intelligence, Ellis Horwood, Chichester, vol. 10, pp. 455\u2013470 (1982)"},{"key":"12_CR9","first-page":"529","volume-title":"Proc. IJCAI 1983","author":"E. Shapiro","year":"1983","unstructured":"Shapiro, E.: Logic programs with uncertainties: A tool for implementing expert systems. In: Proc. IJCAI 1983, pp. 529\u2013532. William Kaufmann, San Francisco (1983)"},{"key":"12_CR10","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/B978-0-444-70058-2.50017-6","volume-title":"Uncertainty in Artificial Intelligence","author":"D. Heckerman","year":"1986","unstructured":"Heckerman, D.: Probabilistic interpretation for MYCIN\u2019s certainty factors. In: Kanal, L.N., Lemmer, J. (eds.) Uncertainty in Artificial Intelligence, pp. 167\u2013196. Kluwer Science Publishers, Dordrecht (1986)"},{"key":"12_CR11","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/S0950-7051(00)00073-3","volume":"14","author":"P. Lucas","year":"2001","unstructured":"Lucas, P.: Certainty-factor-like structures in bayesian belief networks. Knowledge-Based Systems 14, 325\u2013327 (2001)","journal-title":"Knowledge-Based Systems"},{"key":"12_CR12","volume-title":"The Logical Foundations of Probability","author":"R. Carnap","year":"1950","unstructured":"Carnap, R.: The Logical Foundations of Probability. University of Chicago Press, Chicago (1950)"},{"issue":"3","key":"12_CR13","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1305\/ndjfl\/1093870625","volume":"25","author":"T. Hailperin","year":"1984","unstructured":"Hailperin, T.: Probabilistic logic. Notre Dame Journal of Formal Logic 25(3), 198\u2013212 (1984)","journal-title":"Notre Dame Journal of Formal Logic"},{"issue":"1\/2","key":"12_CR14","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/0890-5401(90)90060-U","volume":"87","author":"R. Fagin","year":"1990","unstructured":"Fagin, R., Halpern, J.Y., Megiddo, N.: A logic for reasoning about probabilities. Information and Computation 87(1\/2), 78\u2013128 (1990)","journal-title":"Information and Computation"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Fenstad, J.E.: The structure of probabilities defined on first-order languages. Studies in Inductive Logic and Probabilities, pp. 251\u2013262. California Press (1980)","DOI":"10.1525\/9780520318328-008"},{"key":"12_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/BF02759729","volume":"2","author":"H. Gaifman","year":"1964","unstructured":"Gaifman, H.: Concerning measures in first-order calculi. Israel Journal of Mathematics 2, 1\u201318 (1964)","journal-title":"Israel Journal of Mathematics"},{"issue":"3","key":"12_CR17","doi-asserted-by":"publisher","first-page":"495","DOI":"10.2307\/2273587","volume":"47","author":"H. Gaifman","year":"1982","unstructured":"Gaifman, H., Snir, M.: Probabilities over rich languages, testing and randomness. Journal of Symbolic Logic 47(3), 495\u2013548 (1982)","journal-title":"Journal of Symbolic Logic"},{"key":"12_CR18","series-title":"LNCS","first-page":"102","volume-title":"ICDT 1988","author":"M. Kifer","year":"1988","unstructured":"Kifer, M., Li, A.: On the semantics of rule-based expert systems with uncertainty. In: Gyssens, M., Van Gucht, D., Paredaens, J. (eds.) ICDT 1988. LNCS, vol. 326, pp. 102\u2013117. Springer, Heidelberg (1988)"},{"issue":"5","key":"12_CR19","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1109\/69.469827","volume":"7","author":"B. W\u00fcthrich","year":"1995","unstructured":"W\u00fcthrich, B.: Probabilistic knowledge bases. IEEE Trans. Knowl. Data Eng. 7(5), 691\u2013698 (1995)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"12_CR20","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/0890-5401(92)90061-J","volume":"101","author":"R.T. Ng","year":"1992","unstructured":"Ng, R.T., Subrahmanian, V.S.: Probabilistic logic programming. Information and Computation 101(2), 150\u2013201 (1992)","journal-title":"Information and Computation"},{"key":"12_CR21","unstructured":"Lakshmanan, L.V.S., Sadri, F.: Probabilistic deductive databases. In: Symposium on Logic Programming, pp. 254\u2013268 (1994)"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Lakshmanan, L.V.S.: An epistemic foundation for logic programming with uncertainty. In: Foundations of Software Technology and Theoretical Computer Science, pp. 89\u2013100 (1994)","DOI":"10.1007\/3-540-58715-2_116"},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Ngo, L., Haddawy, P.: Probabilistic logic programming and Bayesian networks. In: Asian Computing Science Conference, pp. 286\u2013300 (1995)","DOI":"10.1007\/3-540-60688-2_51"},{"issue":"1","key":"12_CR24","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 64(1), 81\u2013129 (1993)","journal-title":"Artificial Intelligence"},{"key":"12_CR25","unstructured":"Zhang, N.L., Poole, D.: A simple approach to Bayesian network computations. In: Proceedings of the Tenth Biennial Canadian Artificial Intelligence Conference (1994)"},{"key":"12_CR26","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1613\/jair.577","volume":"10","author":"T. Lukasiewicz","year":"1999","unstructured":"Lukasiewicz, T.: Probabilistic deduction with conditional constraints over basic events. J. Artif. Intell. Res (JAIR) 10, 199\u2013241 (1999)","journal-title":"J. Artif. Intell. Res (JAIR)"},{"issue":"1\u20132","key":"12_CR27","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/0004-3702(94)90079-5","volume":"69","author":"A.M. Frisch","year":"1994","unstructured":"Frisch, A.M., Haddawy, P.: Anytime deduction for probabilistic logic. Artificial Intelligence 69(1\u20132), 93\u2013122 (1994)","journal-title":"Artificial Intelligence"},{"key":"12_CR28","first-page":"569","volume-title":"Proceedings of the Thirteenth National Conference on Artificial Intelligence and the Eighth Innovative Applications of Artificial Intelligence Conference","author":"D. Koller","year":"1996","unstructured":"Koller, D., Halpern, J.Y.: Irrelevance and conditioning in first-order probabilistic logic. In: Shrobe, H., Senator, T. (eds.) Proceedings of the Thirteenth National Conference on Artificial Intelligence and the Eighth Innovative Applications of Artificial Intelligence Conference, vol. 2, pp. 569\u2013576. AAAI Press, Menlo Park (1996)"},{"key":"12_CR29","unstructured":"Riezler, S.: Probabilistic constraint logic programming (1997)"},{"key":"12_CR30","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1145\/41625.41635","volume-title":"POPL 1987: Proceedings of the 14th ACM SIGACT-SIGPLAN symposium on Principles of programming languages","author":"J. Jaffar","year":"1987","unstructured":"Jaffar, J., Lassez, J.L.: Constraint logic programming. In: POPL 1987: Proceedings of the 14th ACM SIGACT-SIGPLAN symposium on Principles of programming languages, pp. 111\u2013119. ACM Press, New York (1987)"},{"key":"12_CR31","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/0885-2308(90)90022-X","volume":"4","author":"K. Lari","year":"1990","unstructured":"Lari, K., Young, S.: The estimation of stochastic context-free grammars using the inside-outside algorithm. Computer Speech and Language 4, 35\u201356 (1990)","journal-title":"Computer Speech and Language"},{"key":"12_CR32","doi-asserted-by":"crossref","unstructured":"Baker, J.: Trainable grammars for speech recognition. In: Speech communication papers presented at the 97th Meeting of the Acoustical Society, pp. 547\u2013550 (1979)","DOI":"10.1121\/1.2017061"},{"key":"12_CR33","first-page":"1","volume":"3","author":"L.E. Baum","year":"1972","unstructured":"Baum, L.E.: An inequality and associated maximization technique in statistical estimation for probabilistic functions of markov processes. Inequalities 3, 1\u20138 (1972)","journal-title":"Inequalities"},{"key":"12_CR34","unstructured":"Muggleton, S.: Stochastic logic programs. In: De Raedt, L. (ed.) Proceedings of the 5th International Workshop on Inductive Logic Programming, Department of Computer Science, Katholieke Universiteit Leuven, vol. 29 (1995)"},{"key":"12_CR35","first-page":"126","volume-title":"Proceedings of the 15th Annual Conference on Uncertainty in AI (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 15th Annual Conference on Uncertainty in AI (UAI 1999), pp. 126\u2013133. Morgan Kaufmann, San Francisco (1999)"},{"issue":"3\u20134","key":"12_CR36","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/BF03037227","volume":"13","author":"S. Muggleton","year":"1995","unstructured":"Muggleton, S.: Inverse entailment and Progol. New Generation Computing, Special issue on Inductive Logic Programming 13(3\u20134), 245\u2013286 (1995)","journal-title":"New Generation Computing, Special issue on Inductive Logic Programming"},{"issue":"4","key":"12_CR37","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.J., Lafferty, J.D.: Inducing features of random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(4), 380\u2013393 (1997)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"1","key":"12_CR38","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 (Methodological) 39(1), 1\u201338 (1977)","journal-title":"Journal of the Royal Statistical Society. Series B (Methodological)"},{"key":"12_CR39","unstructured":"Lukasiewicz, T.: Probabilistic logic programming. In: European Conference on Artificial Intelligence, pp. 388\u2013392 (1998)"},{"key":"12_CR40","doi-asserted-by":"crossref","unstructured":"Baral, C., Gelfond, M., Rushton, J.N.: Probabilistic reasoning with answer sets. In: LPNMR, pp. 21\u201333 (2004)","DOI":"10.1007\/978-3-540-24609-1_5"},{"key":"12_CR41","volume-title":"Causality: Models, Reasoning and Inference","author":"J. Pearl","year":"2000","unstructured":"Pearl, J.: Causality: Models, Reasoning and Inference. Cambridge University Press, Cambridge (2000)"},{"key":"12_CR42","unstructured":"Sato, T., Kameya, Y.: Prism: A language for symbolic-statistical modeling. In: IJCAI, pp. 1330\u20131339 (1997)"},{"key":"12_CR43","unstructured":"Sato, T., Kameya, Y.: A viterbi-like algorithm and em learning for statistical abduction (2000)"},{"key":"12_CR44","unstructured":"Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D.L., Kolobov, A.: BLOG: Probabilistic models with unknown objects. In: Proc. IJCAI (2005)"},{"key":"12_CR45","unstructured":"Spiegelhalter, D., Thomas, A., Best, N., Gilks, W.: Bugs: Bayesian inference using gibbs sampling, version 0.30. Technical report, MRC Biostatistics Unit, University of Cambridge (1994)"},{"key":"12_CR46","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1162\/153244301753344614","volume":"1","author":"D. Heckerman","year":"2000","unstructured":"Heckerman, D., Chickering, D.M., Meek, C., Rounthwaite, R., Kadie, C.M.: Dependency networks for inference, collaborative filtering, and data visualization. Journal of Machine Learning Research 1, 49\u201375 (2000)","journal-title":"Journal of Machine Learning Research"},{"key":"12_CR47","doi-asserted-by":"crossref","unstructured":"de Salvo Braz, R.: Lifted First-Order Probabilistic Inference. PhD thesis University of Illinois at Urbana-Champaign (2007)","DOI":"10.7551\/mitpress\/7432.003.0017"},{"key":"12_CR48","doi-asserted-by":"crossref","first-page":"433","DOI":"10.7551\/mitpress\/7432.003.0017","volume-title":"An Introduction to Statistical Relational Learning","author":"R. Salvo Braz de","year":"2007","unstructured":"de Salvo Braz, R., Amir, E., Roth, D.: Lifted first-order probabilistic inference. In: Getoor, L., Taskar, B. (eds.) An Introduction to Statistical Relational Learning, pp. 433\u2013451. MIT Press, Cambridge (2007)"},{"key":"12_CR49","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1111\/j.1467-8640.1992.tb00382.x","volume":"8","author":"J.S. Breese","year":"1991","unstructured":"Breese, J.S.: Construction of belief and decision networks. Computational Intelligence 8, 624\u2013647 (1991)","journal-title":"Computational Intelligence"},{"key":"12_CR50","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1017\/S0269888900006147","volume":"7","author":"M.P. Wellman","year":"1992","unstructured":"Wellman, M.P., Breese, J.S., Goldman, R.P.: From knowledge bases to decision models. Knowledge Engineering Review 7, 35\u201353 (1992)","journal-title":"Knowledge Engineering Review"},{"key":"12_CR51","first-page":"155","volume-title":"Proceedings of the 6th Conference of Uncertainty in Artificial Intelligence","author":"M. Horsch","year":"1990","unstructured":"Horsch, M., Poole, D.: A dynamic approach to probabilistic inference using bayesian networks. In: Proceedings of the 6th Conference of Uncertainty in Artificial Intelligence, pp. 155\u2013161. Morgan Kaufmann, San Francisco (1990)"},{"issue":"3","key":"12_CR52","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/34.204902","volume":"15","author":"R.P. Goldman","year":"1993","unstructured":"Goldman, R.P., Cherniak, E.: A language for construction of belief networks. IEEE Trans. Pattern Anal. Mach. Intell. 15(3), 196\u2013208 (1993)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1\u20132","key":"12_CR53","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/S0004-3702(97)00027-1","volume":"94","author":"D. Poole","year":"1997","unstructured":"Poole, D.: The independent choice logic for modelling multiple agents under uncertainty. Artificial Intelligence 94(1\u20132), 7\u201356 (1997)","journal-title":"Artificial Intelligence"},{"key":"12_CR54","doi-asserted-by":"crossref","unstructured":"Glesner, S., Koller, D.: Constructing flexible dynamic belief networks from first-order probalistic knowledge bases. In: Symbolic and Quantitative Approaches to Reasoning and Uncertainty, pp. 217\u2013226 (1995)","DOI":"10.1007\/3-540-60112-0_25"},{"key":"12_CR55","first-page":"262","volume-title":"Uncertainty In Artificial Intelligence 10 (UAI 1994)","author":"P. Haddawy","year":"1994","unstructured":"Haddawy, P.: Generating bayesian networks from probability logic knowledge bases. In: de Mantaras, R.L., Poole, D. (eds.) Uncertainty In Artificial Intelligence 10 (UAI 1994), pp. 262\u2013269. Morgan Kaufmann, San Francisco (1994)"},{"key":"12_CR56","unstructured":"Koller, D., Pfeffer, A.: Learning probabilities for noisy first-order rules. In: IJCAI, pp. 1316\u20131323 (1997)"},{"key":"12_CR57","unstructured":"Jaeger, M.: Relational Bayesian networks. In: Kaufmann, M. (ed.) Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence, pp. 266\u2013273 (1997)"},{"key":"12_CR58","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/978-3-662-04599-2_13","volume-title":"Relational Data Mining","author":"L. Getoor","year":"2001","unstructured":"Getoor, L., Friedman, N., Koller, D., Pfeffer, A.: Learning probabilistic relational models. In: D\u017eeroski, S., Lavrac, N. (eds.) Relational Data Mining, pp. 307\u2013335. Springer, Heidelberg (2001)"},{"key":"12_CR59","unstructured":"Koller, D., Pfeffer, A.: Probabilistic frame-based systems. In: Proceedings of the 15th National Conference on Artificial Intelligence (AAAI), pp. 580\u2013587 (1998)"},{"key":"12_CR60","first-page":"163","volume-title":"Computation & intelligence: collected readings","author":"M. Minsky","year":"1995","unstructured":"Minsky, M.: A framework for representing knowledge. In: Computation & intelligence: collected readings, pp. 163\u2013189. American Association for Artificial Intelligence, Menlo Park (1995)"},{"key":"12_CR61","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1111\/j.1467-8640.1987.tb00176.x","volume":"3","author":"H.J. Levesque","year":"1987","unstructured":"Levesque, H.J., Brachman, R.J.: Expressiveness and tractability in knowledge representation and reasoning. Computational Intelligence 3, 78\u201393 (1987)","journal-title":"Computational Intelligence"},{"key":"12_CR62","unstructured":"Koller, D., Levy, A.Y., Pfeffer, A.: P-CLASSIC: A tractable probablistic description logic. In: AAAI\/IAAI, pp. 390\u2013397 (1997)"},{"key":"12_CR63","first-page":"322","volume-title":"SARA 2000. LNCS (LNAI)","author":"L. Getoor","year":"2000","unstructured":"Getoor, L.: Learning probabilistic relational models with structural uncertainty. In: Choueiry, B.Y., Walsh, T. (eds.) SARA 2000. LNCS (LNAI), vol. 1864, pp. 322\u2013329. Springer, Heidelberg (2000)"},{"key":"12_CR64","unstructured":"Taskar, B., Abbeel, P., Koller, D.: Discriminative probabilistic models for relational data. In: Proc. Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI), Edmonton, Canada (2002)"},{"key":"12_CR65","volume-title":"PhD thesis","author":"J. Neville","year":"2006","unstructured":"Neville, J.: Statistical models and analysis techniques for learning in relational data. PhD thesis, University of Massachusetts Amherst (2006)"},{"key":"12_CR66","unstructured":"Kersting, K., De Raedt, L.: Bayesian logic programs. In: Cussens, J., Frisch, A. (eds.) Proceedings of the Work-in-Progress Track at the 10th International Conference on Inductive Logic Programming, pp. 138\u2013155 (2000)"},{"key":"12_CR67","doi-asserted-by":"crossref","unstructured":"Fierens, D., Blockeel, H., Bruynooghe, M., Ramon, J.: Logical bayesian networks and their relation to other probabilistic logical models. In: ILP, pp. 121\u2013135 (2005)","DOI":"10.1007\/11536314_8"},{"key":"12_CR68","first-page":"517","volume-title":"Proceedings of the 19th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2003)","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 19th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2003), pp. 517\u2013552. Morgan Kaufmann, San Francisco (2003)"},{"key":"12_CR69","doi-asserted-by":"crossref","unstructured":"Angelopoulos, N.: Probabilistic finite domains: A brief overview. In: Stuckey, P.J. (ed.) ICLP 2002. LNCS, vol. 2401, p. 475. Springer, Heidelberg (2002)","DOI":"10.1007\/3-540-45619-8_38"},{"key":"12_CR70","unstructured":"Richardson, M., Domingos, P.: Markov logic networks. Technical report, Department of Computer Science, University of Washington (2004)"},{"issue":"3","key":"12_CR71","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. The Statistician 24(3), 179\u2013195 (1975)","journal-title":"The Statistician"},{"key":"12_CR72","unstructured":"Laskey, K.B.: First-order Bayesian logic. Technical report, George Mason University Department of Systems Engineering and Operations Research (2003)"},{"key":"12_CR73","unstructured":"Poole, D.: First-order probabilistic inference. In: Proceedings of the 18th International Joint Conference on Artificial Intelligence, pp. 985\u2013991 (2003)"},{"key":"12_CR74","volume-title":"Machine Learing","author":"T.M. Mitchell","year":"1997","unstructured":"Mitchell, T.M.: Machine Learing. McGraw-Hill Higher Education, New York (1997)"},{"key":"12_CR75","first-page":"425","volume-title":"KR 2000: Principles of Knowledge Representation and Reasoning","author":"C. Cumby","year":"2000","unstructured":"Cumby, C., Roth, D.: Relational representations that facilitate learning. In: Cohn, A.G., Giunchiglia, F., Selman, B. (eds.) KR 2000: Principles of Knowledge Representation and Reasoning, pp. 425\u2013434. Morgan Kaufmann, San Francisco (2000)"},{"key":"12_CR76","first-page":"10001","volume-title":"Inductive Logic Programming: Techniques and Applications","author":"N. Lavrac","year":"1992","unstructured":"Lavrac, N., Dzeroski, S.: Inductive Logic Programming: Techniques and Applications. Routledge, New York, 10001 (1992)"},{"key":"12_CR77","series-title":"LNCS (LNAI)","first-page":"92","volume-title":"ILP 1999","author":"P. Flach","year":"1999","unstructured":"Flach, P., Lachiche, N.: IBC: A first-order Bayesian classifier. In: D\u017eeroski, S., Flach, P. (eds.) ILP 1999. LNCS (LNAI), vol. 1634, pp. 92\u2013103. Springer, Heidelberg (1999)"},{"key":"12_CR78","series-title":"LNCS (LNAI)","first-page":"133","volume-title":"ILP 2002","author":"N. Lachiche","year":"2003","unstructured":"Lachiche, N., Flach, P.A.: 1BC2: a true first-order Bayesian classifier. In: Matwin, S., Sammut, C. (eds.) ILP 2002. LNCS (LNAI), vol. 2583, pp. 133\u2013148. Springer, Heidelberg (2003)"},{"key":"12_CR79","volume-title":"ICDM 2003: Proceedings of the Third IEEE International Conference on Data Mining","author":"J. Neville","year":"2003","unstructured":"Neville, J., Jensen, D., Gallagher, B.: Simple estimators for relational bayesian classifiers. In: ICDM 2003: Proceedings of the Third IEEE International Conference on Data Mining. IEEE Computer Society Press, Washington (2003)"},{"key":"12_CR80","first-page":"239","volume":"5","author":"J. Quinlan","year":"1990","unstructured":"Quinlan, J.: Learning logical definitions from relations. Machine Learning 5, 239\u2013266 (1990)","journal-title":"Machine Learning"},{"issue":"2\u20133","key":"12_CR81","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1023\/A:1007361123060","volume":"26","author":"L.D. Raedt","year":"1997","unstructured":"Raedt, L.D., Dehaspe, L.: Clausal discovery. Machine Learning 26(2\u20133), 99\u2013146 (1997)","journal-title":"Machine Learning"},{"key":"12_CR82","doi-asserted-by":"crossref","unstructured":"Raedt, L.D., Kersting, K.: Probabilistic inductive logic programming. In: ALT, pp. 19\u201336 (2004)","DOI":"10.1007\/978-3-540-30215-5_3"},{"key":"12_CR83","first-page":"104","volume-title":"ILP 2001. LNCS (LNAI)","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. 2157, pp. 104\u2013117. Springer, Heidelberg (2001)"},{"key":"12_CR84","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/B978-0-08-051584-7.50027-9","volume-title":"Readings in speech recognition","author":"L.R. Rabiner","year":"1990","unstructured":"Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. In: Readings in speech recognition, pp. 267\u2013296. Morgan Kaufmann Publishers Inc., San Francisco (1990)"},{"key":"12_CR85","volume-title":"PhD thesis","author":"K.P. Murphy","year":"2002","unstructured":"Murphy, K.P.: Dynamic bayesian networks: representation, inference and learning. PhD thesis, University of California, Berkeley, Chair-Stuart Russell (2002)"},{"issue":"4","key":"12_CR86","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1109\/TPAMI.2003.1190578","volume":"25","author":"M. Diligenti","year":"2003","unstructured":"Diligenti, M., Frasconi, P., Gori, M.: Hidden tree markov models for document image classification. IEEE Trans. Pattern Anal. Mach. Intell. 25(4), 519\u2013523 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"12_CR87","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1145\/775047.775068","volume-title":"KDD 2002: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining","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: KDD 2002: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 143\u2013152. ACM Press, New York (2002)"},{"key":"12_CR88","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1613\/jair.62","volume":"2","author":"W.L. Buntine","year":"1994","unstructured":"Buntine, W.L.: Operations for learning with graphical models. Journal of Artificial Intelligence Research 2, 159\u2013225 (1994)","journal-title":"Journal of Artificial Intelligence Research"},{"key":"12_CR89","unstructured":"Miolsness, E.: Labeled graph notations for graphical models: Extended report. Technical report, University of California Irvine\u2014Information and Computer Sciences (2004)"},{"key":"12_CR90","unstructured":"de Salvo Braz, R., Amir, E., Roth, D.: Lifted first-order probabilistic inference. In: Proceedings of IJCAI 2005, 19th International Joint Conference on Artificial Intelligence (2005)"},{"key":"12_CR91","unstructured":"Pfeffer, A., Koller, D.: Semantics and inference for recursive probability models. In: AAAI\/IAAI, pp. 538\u2013544 (2000)"}],"container-title":["Studies in Computational Intelligence","Innovations in Bayesian Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-85066-3_12.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T17:56:04Z","timestamp":1709229364000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-85066-3_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540850656","9783540850663"],"references-count":91,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-85066-3_12","relation":{},"ISSN":["1860-949X"],"issn-type":[{"type":"print","value":"1860-949X"}],"subject":[]}}