{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T17:04:32Z","timestamp":1732035872735,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1109\/icdm.2015.138","type":"proceedings-article","created":{"date-parts":[[2016,1,7]],"date-time":"2016-01-07T22:18:23Z","timestamp":1452205103000},"page":"811-816","source":"Crossref","is-referenced-by-count":17,"title":["Transfer Learning via Relational Type Matching"],"prefix":"10.1109","author":[{"given":"Raksha","family":"Kumaraswamy","sequence":"first","affiliation":[]},{"given":"Phillip","family":"Odom","sequence":"additional","affiliation":[]},{"given":"Kristian","family":"Kersting","sequence":"additional","affiliation":[]},{"given":"David","family":"Leake","sequence":"additional","affiliation":[]},{"given":"Sriraam","family":"Natarajan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Bayesian logic programming: Theory and tool","author":"kersting","year":"2007","journal-title":"An Introduction to Statistical Relational Learning"},{"key":"ref11","article-title":"Learning first-order probabilistic models with combining rules","author":"natarajan","year":"2009","journal-title":"AMAI"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.87"},{"key":"ref13","first-page":"509","article-title":"Learning to extract symbolic knowledge from the world wide web","author":"craven","year":"1998","journal-title":"ser AAAI"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1007\/11564096_68","article-title":"Mode directed path finding","author":"ong","year":"2005","journal-title":"Machine Learning ECML 2005"},{"key":"ref15","article-title":"The Alchemy system for statistical relational AI","author":"kok","year":"2007","journal-title":"Department of Computer Science and Engineering University of Washington Seattle WA Tech Rep"},{"key":"ref16","first-page":"815","article-title":"Changing the rules: a comprehensive approach to theory refinement","author":"ourston","year":"1990","journal-title":"AAAI"},{"key":"ref17","article-title":"Structure refinement in first order conditional influence language","author":"natarajan","year":"2006","journal-title":"Proceedings of the ICML workshop on Open Problems in Statistical Relational Learning"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956759"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273575"},{"key":"ref4","first-page":"608","article-title":"Mapping and revising markov logic networks for transfer learning","volume":"7","author":"mihalkova","year":"2007","journal-title":"AAAI"},{"key":"ref3","article-title":"Todtler: Two-order-deep transfer learning","author":"haaren","year":"2015","journal-title":"Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence"},{"key":"ref6","first-page":"3","article-title":"Toward an architecture for never-ending language learning","volume":"5","author":"carlson","year":"2010","journal-title":"AAAI"},{"key":"ref5","first-page":"1163","article-title":"Transfer learning from minimal target data by mapping across relational domains","volume":"9","author":"mihalkova","year":"2009","journal-title":"IJCAI"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-78652-8","author":"de raedt","year":"2008","journal-title":"Probabilistic Inductive Logic Programming"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/7432.001.0001","author":"getoor","year":"2007","journal-title":"Introduction to Statistical Relational Learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553402"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2200\/S00206ED1V01Y200907AIM007"}],"event":{"name":"2015 IEEE International Conference on Data Mining (ICDM)","start":{"date-parts":[[2015,11,14]]},"location":"Atlantic City, NJ, USA","end":{"date-parts":[[2015,11,17]]}},"container-title":["2015 IEEE International Conference on Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7373198\/7373293\/07373394.pdf?arnumber=7373394","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,3]],"date-time":"2019-09-03T08:14:55Z","timestamp":1567498495000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7373394\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icdm.2015.138","relation":{},"subject":[],"published":{"date-parts":[[2015,11]]}}}