{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T09:04:37Z","timestamp":1742979877216,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319341101"},{"type":"electronic","value":"9783319341118"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-34111-8_31","type":"book-chapter","created":{"date-parts":[[2016,5,12]],"date-time":"2016-05-12T02:53:01Z","timestamp":1463021581000},"page":"257-262","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain"],"prefix":"10.1007","author":[{"given":"Matthew","family":"Dirks","sequence":"first","affiliation":[]},{"given":"Andrew","family":"Csinger","sequence":"additional","affiliation":[]},{"given":"Andrew","family":"Bamber","sequence":"additional","affiliation":[]},{"given":"David","family":"Poole","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,5,13]]},"reference":[{"issue":"3","key":"31_CR1","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1179\/174328608X396535","volume":"117","author":"A Bamber","year":"2008","unstructured":"Bamber, A., Klein, B., Pakalnis, R., Scoble, M.: Integrated mining, processing and waste disposal systems for reduced energy and operating costs at xstrata nickel\u2019s sudbury operations. Min. Technol. 117(3), 142\u2013153 (2008)","journal-title":"Min. Technol."},{"key":"31_CR2","first-page":"281","volume":"13","author":"J Bergstra","year":"2012","unstructured":"Bergstra, J., Bengio, Y.: Random search for hyper-parameter optimization. J. Mach. Learn. Res. 13, 281\u2013305 (2012). \n                      http:\/\/dl.acm.org\/citation.cfm?id=2188395","journal-title":"J. Mach. Learn. Res."},{"key":"31_CR3","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1613\/jair.62","volume":"2","author":"WL Buntine","year":"1994","unstructured":"Buntine, W.L.: Operations for learning with graphical models. J. Artif. Intell. Res. 2, 159\u2013225 (1994)","journal-title":"J. Artif. Intell. Res."},{"issue":"1","key":"31_CR4","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1214\/10-STS351","volume":"26","author":"GC Christian Robert","year":"2011","unstructured":"Christian Robert, G.C.: A short history of markov chain monte carlo: subjective recollections from incomplete data. Stat. Sci. 26(1), 102\u2013115 (2011). \n                      http:\/\/www.jstor.org\/stable\/23059158","journal-title":"Stat. Sci."},{"issue":"3","key":"31_CR5","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1109\/36.54354","volume":"28","author":"Y Das","year":"1990","unstructured":"Das, Y., McFee, J.E., Toews, J., Stuart, G.C.: Analysis of an electromagnetic induction detector for real-time location of buried objects. IEEE Trans. Geosci. Remote Sens. 28(3), 278\u2013288 (1990)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"31_CR6","unstructured":"Dirks, M.: Sensing and Sorting Ore Using a Relational Influence Diagram. Master\u2019s thesis, University of British Columbia (2014). \n                      http:\/\/circle.ubc.ca\/handle\/2429\/49998"},{"issue":"5","key":"31_CR7","first-page":"129","volume":"2","author":"M Hitch","year":"2015","unstructured":"Hitch, M., Bamber, A., Oka, P.: Presorting of high grade molybdenum ore-a case for enhanced small mine development. J. Eng. Appl. Sci. 2(5), 129\u2013135 (2015)","journal-title":"J. Eng. Appl. Sci."},{"issue":"3","key":"31_CR8","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1287\/deca.1050.0020","volume":"2","author":"RA Howard","year":"2005","unstructured":"Howard, R.A., Matheson, J.E.: Influence diagrams. Decis. Anal. 2(3), 127\u2013143 (2005). \n                      http:\/\/pubsonline.informs.org\/doi\/abs\/10.1287\/deca.1050.0020","journal-title":"Decis. Anal."},{"key":"31_CR9","unstructured":"Hsu, W., Joehanes, R.: Relational decision networks. In: Proceedings of the ICML Workshop on Statistical Relational Learning, p. 122 (2004)"},{"key":"31_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1007\/978-3-642-25566-3_40","volume-title":"Learning and Intelligent Optimization","author":"F Hutter","year":"2011","unstructured":"Hutter, F., Hoos, H.H., Leyton-Brown, K.: Sequential model-based optimization for general algorithm configuration. In: Coello, C.A.C. (ed.) LION 2011. LNCS, vol. 6683, pp. 507\u2013523. Springer, Heidelberg (2011)"},{"key":"31_CR11","doi-asserted-by":"publisher","first-page":"2375","DOI":"10.1109\/TMAG.2013.2239281","volume":"49","author":"D Lowther","year":"2013","unstructured":"Lowther, D.: The development of industrially-relevant computational electromagnetics based design tools. IEEE Trans. Magn. 49, 2375\u20132380 (2013)","journal-title":"IEEE Trans. Magn."},{"issue":"2","key":"31_CR12","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1080\/1478647031000139079","volume":"12","author":"MB Mesina","year":"2003","unstructured":"Mesina, M.B., de Jong, T.P.R., Dalmijn, W.L.: Improvements in separation of non-ferrous scrap metals using an electromagnetic sensor. Phys. Sep. Sci. Eng. 12(2), 87\u2013101 (2003). \n                      http:\/\/dx.doi.org\/10.1080\/1478647031000139079","journal-title":"Phys. Sep. Sci. Eng."},{"key":"31_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-20895-9_1","volume-title":"Logic Programming and Nonmonotonic Reasoning","author":"D Poole","year":"2011","unstructured":"Poole, D.: Logic, probability and computation: foundations and issues of statistical relational AI. In: Delgrande, J.P., Faber, W. (eds.) LPNMR 2011. LNCS, vol. 6645, pp. 1\u20139. Springer, Heidelberg (2011)"},{"key":"31_CR14","series-title":"Applied Optimization","volume-title":"Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms","author":"J Snyman","year":"2005","unstructured":"Snyman, J.: Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Applied Optimization. Springer, New York (2005). \n                      http:\/\/opac.inria.fr\/record=b1132592"},{"issue":"3","key":"31_CR15","first-page":"73","volume":"17","author":"S Zilberstein","year":"1996","unstructured":"Zilberstein, S.: Using anytime algorithms in intelligent systems. AI Mag. 17(3), 73\u201383 (1996). \n                      http:\/\/rbr.cs.umass.edu\/shlomo\/papers\/Zaimag96.html","journal-title":"AI Mag."}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-34111-8_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T00:47:20Z","timestamp":1558313240000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-34111-8_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319341101","9783319341118"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-34111-8_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"13 May 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Canadian AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canadian Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Victoria","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 May 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"canadianai2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}