{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:36:12Z","timestamp":1743125772520,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030038397"},{"type":"electronic","value":"9783030038403"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-03840-3_22","type":"book-chapter","created":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T06:28:57Z","timestamp":1541658537000},"page":"293-306","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Expectation Maximization in Deep Probabilistic Logic Programming"],"prefix":"10.1007","author":[{"given":"Arnaud Nguembang","family":"Fadja","sequence":"first","affiliation":[]},{"given":"Fabrizio","family":"Riguzzi","sequence":"additional","affiliation":[]},{"given":"Evelina","family":"Lamma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,9]]},"reference":[{"issue":"1","key":"22_CR1","first-page":"47","volume":"11","author":"M Alberti","year":"2017","unstructured":"Alberti, M., Bellodi, E., Cota, G., Riguzzi, F., Zese, R.: cplint on SWISH: probabilistic logical inference with a web browser. Intell. Artif. 11(1), 47\u201364 (2017)","journal-title":"Intell. Artif."},{"key":"22_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/978-3-319-49130-1_26","volume-title":"AI*IA 2016: Advances in Artificial Intelligence","author":"M Alberti","year":"2016","unstructured":"Alberti, M., Cota, G., Riguzzi, F., Zese, R.: Probabilistic logical inference on the web. In: Adorni, G., Cagnoni, S., Gori, M., Maratea, M. (eds.) AI*IA 2016. LNCS (LNAI), vol. 10037, pp. 351\u2013363. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-49130-1_26"},{"key":"22_CR3","unstructured":"De Raedt, L., Kimmig, A., Toivonen, H.: ProbLog: a probabilistic Prolog and its application in link discovery. In: Veloso, M.M. (ed.) IJCAI 2007, vol. 7, pp. 2462\u20132467. AAAI Press\/IJCAI (2007)"},{"key":"22_CR4","unstructured":"Kersting, K., De Raedt, L.: Basic principles of learning Bayesian logic programs. Institute for Computer Science, University of Freiburg. Citeseer (2002)"},{"key":"22_CR5","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"Kok, S., Domingos, P.: Learning the structure of Markov logic networks. In: ICML 2005, pp. 441\u2013448. ACM (2005)","DOI":"10.1145\/1102351.1102407"},{"key":"22_CR7","unstructured":"Koller, D., Pfeffer, A.: Learning probabilities for noisy first-order rules. In: IJCAI, pp. 1316\u20131323 (1997)"},{"key":"22_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1007\/978-3-642-13840-9_10","volume-title":"Inductive Logic Programming","author":"W Meert","year":"2010","unstructured":"Meert, W., Struyf, J., Blockeel, H.: CP-logic theory inference with contextual variable elimination and comparison to BDD based inference methods. In: De Raedt, L. (ed.) ILP 2009. LNCS (LNAI), vol. 5989, pp. 96\u2013109. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13840-9_10"},{"issue":"5","key":"22_CR9","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1093\/bioinformatics\/btr698","volume":"28","author":"S M\u00f8rk","year":"2012","unstructured":"M\u00f8rk, S., Holmes, I.: Evaluating bacterial gene-finding HMM structures as probabilistic logic programs. Bioinformatics 28(5), 636\u2013642 (2012)","journal-title":"Bioinformatics"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Natarajan, S., Tadepalli, P., Kunapuli, G., Shavlik, J.: Learning parameters for relational probabilistic models with noisy-or combining rule. In: 2009 International Conference on Machine Learning and Applications, ICMLA 2009, pp. 141\u2013146. IEEE (2009)","DOI":"10.1109\/ICMLA.2009.134"},{"key":"22_CR11","unstructured":"Nguembang Fadja, A., Lamma, E., Riguzzi, F.: Deep probabilistic logic programming. In: Theil Have, C., Zese, R. (eds.) Proceedings of the 4th International Workshop on Probabilistic Logic Programming (PLP 2017), CEUR Workshop Proceedings, vol. 1916, pp. 3\u201314. Sun SITE Central Europe, Aachen (2017)"},{"key":"22_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-319-69775-8_1","volume-title":"Towards Integrative Machine Learning and Knowledge Extraction","author":"A Holzinger","year":"2017","unstructured":"Holzinger, A., Goebel, R., Palade, V., Ferri, M.: Towards integrative machine learning and knowledge extraction. In: Holzinger, A., Goebel, R., Ferri, M., Palade, V. (eds.) Towards Integrative Machine Learning and Knowledge Extraction. LNCS (LNAI), vol. 10344, pp. 1\u201312. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69775-8_1"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Nguembang Fadja, A., Riguzzi, F., Lamma, E.: Deep parameter learning for probabilistic logic programming (2018, submitted)","DOI":"10.1007\/s10994-018-5750-0"},{"key":"22_CR14","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, Burlington (1988)"},{"key":"22_CR15","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. Artif. Intell. 94, 7\u201356 (1997)","journal-title":"Artif. Intell."},{"issue":"10","key":"22_CR16","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1002\/spe.2386","volume":"46","author":"F Riguzzi","year":"2016","unstructured":"Riguzzi, F., Bellodi, E., Lamma, E., Zese, R., Cota, G.: Probabilistic logic programming on the web. Softw.-Pract. Exper. 46(10), 1381\u20131396 (2016)","journal-title":"Softw.-Pract. Exper."},{"key":"22_CR17","series-title":"CEUR Workshop Proceedings","first-page":"30","volume-title":"Workshop on Deep Understanding and Reasoning, URANIA 2016","author":"F Riguzzi","year":"2017","unstructured":"Riguzzi, F., Lamma, E., Alberti, M., Bellodi, E., Zese, R., Cota, G.: Probabilistic logic programming for natural language processing. In: Chesani, F., Mello, P., Milano, M. (eds.) Workshop on Deep Understanding and Reasoning, URANIA 2016. CEUR Workshop Proceedings, vol. 1802, pp. 30\u201337. Sun SITE Central Europe, Aachen, Germany (2017)"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Sato, T.: A statistical learning method for logic programs with distribution semantics. In: Sterling, L. (ed.) ICLP 1995, pp. 715\u2013729. MIT Press (1995)","DOI":"10.7551\/mitpress\/4298.003.0069"},{"key":"22_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1007\/978-3-540-27775-0_30","volume-title":"Logic Programming","author":"J Vennekens","year":"2004","unstructured":"Vennekens, J., Verbaeten, S., Bruynooghe, M.: Logic programs with annotated disjunctions. In: Demoen, B., Lifschitz, V. (eds.) ICLP 2004. LNCS, vol. 3132, pp. 431\u2013445. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-27775-0_30"}],"container-title":["Lecture Notes in Computer Science","AI*IA 2018 \u2013 Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03840-3_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T05:19:56Z","timestamp":1720761596000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-03840-3_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030038397","9783030038403"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03840-3_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"AI*IA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of the Italian Association for Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trento","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiia2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/aixia2018.fbk.eu\/index.php\/home\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"210","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"41","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"20% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}