{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:39:11Z","timestamp":1726043951140},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030301781"},{"type":"electronic","value":"9783030301798"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-30179-8_19","type":"book-chapter","created":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T23:03:18Z","timestamp":1567983798000},"page":"230-243","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Gaussian Lifted Marginal Filtering"],"prefix":"10.1007","author":[{"given":"Stefan","family":"L\u00fcdtke","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alejandro","family":"Molina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kristian","family":"Kersting","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Kirste","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,24]]},"reference":[{"issue":"4","key":"19_CR1","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1109\/TAC.1972.1100034","volume":"17","author":"D Alspach","year":"1972","unstructured":"Alspach, D., Sorenson, H.: Nonlinear Bayesian estimation using Gaussian sum approximations. IEEE Trans. Autom. Control 17(4), 439\u2013448 (1972)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"1","key":"19_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3233\/FI-2011-575","volume":"112","author":"R Barbuti","year":"2011","unstructured":"Barbuti, R., Levi, F., Milazzo, P., Scatena, G.: Maximally parallel probabilistic semantics for multiset rewriting. Fundamenta Informaticae 112(1), 1\u201317 (2011). https:\/\/doi.org\/10.3233\/FI-2011-575","journal-title":"Fundamenta Informaticae"},{"key":"19_CR3","unstructured":"Doucet, A., De Freitas, N., Murphy, K., Russell, S.: Rao-Blackwellised particle filtering for dynamic Bayesian networks. In: Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, pp. 176\u2013183. Morgan Kaufmann Publishers Inc. (2000)"},{"issue":"458","key":"19_CR4","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1198\/016214502760047131","volume":"97","author":"C Fraley","year":"2002","unstructured":"Fraley, C., Raftery, A.E.: Model-based clustering, discriminant analysis, and density estimation. J. Am. Stat. Assoc. 97(458), 611\u2013631 (2002)","journal-title":"J. Am. Stat. Assoc."},{"issue":"7","key":"19_CR5","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/2936726","volume":"59","author":"V Gogate","year":"2016","unstructured":"Gogate, V., Domingos, P.: Probabilistic theorem proving. Commun. ACM 59(7), 107\u2013115 (2016). https:\/\/doi.org\/10.1145\/2936726","journal-title":"Commun. ACM"},{"issue":"11","key":"19_CR6","doi-asserted-by":"publisher","first-page":"e109381","DOI":"10.1371\/journal.pone.0109381","volume":"9","author":"F Kr\u00fcger","year":"2014","unstructured":"Kr\u00fcger, F., Nyolt, M., Yordanova, K., Hein, A., Kirste, T.: Computational state space models for activity and intention recognition. A feasibility study. PLoS ONE 9(11), e109381 (2014). https:\/\/doi.org\/10.1371\/journal.pone.0109381","journal-title":"PLoS ONE"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"L\u00fcdtke, S., Schr\u00f6der, M., Bader, S., Kersting, K., Kirste, T.: Lifted filtering via exchangeable decomposition. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (2018)","DOI":"10.24963\/ijcai.2018\/703"},{"key":"19_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/978-3-030-00111-7_7","volume-title":"KI 2018: Advances in Artificial Intelligence","author":"S L\u00fcdtke","year":"2018","unstructured":"L\u00fcdtke, S., Schr\u00f6der, M., Kirste, T.: Approximate probabilistic parallel multiset rewriting using MCMC. In: Trollmann, F., Turhan, A.-Y. (eds.) KI 2018. LNCS (LNAI), vol. 11117, pp. 73\u201385. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00111-7_7"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Molina, A., Vergari, A., Di Mauro, N., Natarajan, S., Esposito, F., Kersting, K.: Mixed sum-product networks: a deep architecture for hybrid domains. In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (2018)","DOI":"10.1609\/aaai.v32i1.11731"},{"issue":"2\u20134","key":"19_CR10","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.ecolmodel.2008.02.002","volume":"214","author":"HR Parry","year":"2008","unstructured":"Parry, H.R., Evans, A.J.: A comparative analysis of parallel processing and super-individual methods for improving the computational performance of a large individual-based model. Ecol. Model. 214(2\u20134), 141\u2013152 (2008)","journal-title":"Ecol. Model."},{"key":"19_CR11","unstructured":"Ram\u00edrez, M., Geffner, H.: Goal recognition over POMDPs: inferring the intention of a POMDP agent. In: Proceedings of the 22nd IJCAI, pp. 2009\u20132014. AAAI Press (2011)"},{"issue":"3","key":"19_CR12","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1109\/TAES.2007.4383588","volume":"43","author":"AR Runnalls","year":"2007","unstructured":"Runnalls, A.R.: Kullback-Leibler approach to Gaussian mixture reduction. IEEE Trans. Aerosp. Electron. Syst. 43(3), 989\u2013999 (2007)","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"issue":"2\u20133","key":"19_CR13","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/0304-3800(94)00055-M","volume":"80","author":"M Scheffer","year":"1995","unstructured":"Scheffer, M., Baveco, J., DeAngelis, D., Rose, K., van Nes, E.: Super-individuals a simple solution for modelling large populations on an individual basis. Ecol. Model. 80(2\u20133), 161\u2013170 (1995)","journal-title":"Ecol. Model."},{"issue":"1","key":"19_CR14","doi-asserted-by":"publisher","first-page":"289","DOI":"10.32614\/RJ-2016-021","volume":"8","author":"L Scrucca","year":"2016","unstructured":"Scrucca, L., Fop, M., Murphy, T.B., Raftery, A.E.: mclust 5: clustering, classification and density estimation using Gaussian finite mixture models. R J. 8(1), 289 (2016)","journal-title":"R J."},{"issue":"2","key":"19_CR15","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s10994-010-5213-8","volume":"82","author":"I Thon","year":"2011","unstructured":"Thon, I., Landwehr, N., De Raedt, L.: Stochastic relational processes: efficient inference and applications. Mach. Learn. 82(2), 239\u2013272 (2011). https:\/\/doi.org\/10.1007\/s10994-010-5213-8","journal-title":"Mach. Learn."}],"container-title":["Lecture Notes in Computer Science","KI 2019: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30179-8_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T21:40:14Z","timestamp":1664314814000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30179-8_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030301781","9783030301798"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30179-8_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"24 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint German\/Austrian Conference on Artificial Intelligence (K\u00fcnstliche Intelligenz)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kassel","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"42","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ki2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ki2019.de\/","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 (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"82","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"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 (provided by the conference organizers)"}},{"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 (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}