@article{mnih2015humanlevel, author = {Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Rusu, Andrei A. and Veness, Joel and Bellemare, Marc G. and Graves, Alex and Riedmiller, Martin and Fidjeland, Andreas K. and Ostrovski, Georg and Petersen, Stig and Beattie, Charles and Sadik, Amir and Antonoglou, Ioannis and King, Helen and Kumaran, Dharshan and Wierstra, Daan and Legg, Shane and Hassabis, Demis}, interhash = {eac59980357d99db87b341b61ef6645f}, intrahash = {fb15f4471c81dc2b9edf2304cb2f7083}, issn = {00280836}, journal = {Nature}, month = feb, number = 7540, pages = {529--533}, publisher = {Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.}, title = {Human-level control through deep reinforcement learning}, url = {http://dx.doi.org/10.1038/nature14236}, volume = 518, year = 2015 } @inproceedings{DBLP:conf/dsaa/KrompassNT14, author = {Krompass, Denis and Nickel, Maximilian and Tresp, Volker}, bibsource = {dblp computer science bibliography, http://dblp.org}, booktitle = {International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014}, crossref = {DBLP:conf/dsaa/2014}, doi = {10.1109/DSAA.2014.7058046}, interhash = {0ca986606c22ca0b3780c9b9c25f31c7}, intrahash = {c952ed96ece470e4fa5336eedf670d5b}, isbn = {978-1-4799-6991-3}, pages = {18--24}, publisher = {{IEEE}}, title = {Large-scale factorization of type-constrained multi-relational data}, url = {http://dx.doi.org/10.1109/DSAA.2014.7058046}, year = 2014 } @inproceedings{noauthororeditor, author = {Mirowski, Piotr and Ranzato, Marc'Aurelio and LeCun, Yann}, editor = {of the NIPS 2010 Workshop on Deep Learning, Proceedings}, interhash = {b7ce347e904a4ca3263cf6cc1e2253bd}, intrahash = {fc3e0e3af595f9a46df6bc9233df836f}, title = {Dynamic Auto-Encoders for Semantic Indexing}, url = {http://yann.lecun.com/exdb/publis/pdf/mirowski-nipsdl-10.pdf}, year = 2010 } @inproceedings{mitchell2015, author = {Mitchell, T. and Cohen, W. and Hruscha, E. and Talukdar, P. and Betteridge, J. and Carlson, A. and Dalvi, B. and Gardner, M. and Kisiel, B. and Krishnamurthy, J. and Lao, N. and Mazaitis, K. and Mohammad, T. and Nakashole, N. and Platanios, E. and Ritter, A. and Samadi, M. and Settles, B. and Wang, R. and Wijaya, D. and Gupta, A. and Chen, X. and Saparov, A. and Greaves, M. and Welling, J.}, booktitle = {AAAI}, interhash = {52d0d71f6f5b332dabc1412f18e3a93d}, intrahash = {63070703e6bb812852cca56574aed093}, note = {: Never-Ending Learning in AAAI-2015}, title = {Never-Ending Learning}, url = {http://www.cs.cmu.edu/~wcohen/pubs.html}, year = 2015 } @inproceedings{conf/pkdd/BalasubramanyanDC13, author = {Balasubramanyan, Ramnath and Dalvi, Bhavana Bharat and Cohen, William W.}, booktitle = {ECML/PKDD (2)}, crossref = {conf/pkdd/2013-2}, editor = {Blockeel, Hendrik and Kersting, Kristian and Nijssen, Siegfried and Zelezný, Filip}, ee = {http://dx.doi.org/10.1007/978-3-642-40991-2_40}, interhash = {9a32b7cc059a500ea302d0aa65036682}, intrahash = {e56623d21a1b7bcb442cd15fe098bb70}, isbn = {978-3-642-40990-5}, pages = {628-642}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.}, url = {http://dblp.uni-trier.de/db/conf/pkdd/pkdd2013-2.html#BalasubramanyanDC13}, volume = 8189, year = 2013 } @article{journals/kais/GuoV08, author = {Guo, Hongyu and Viktor, Herna L.}, date = {2010-02-02}, ee = {http://dx.doi.org/10.1007/s10115-008-0127-5}, interhash = {430e66171506726f2478939162b789b6}, intrahash = {35bee198e0b131ead007dd91d794ab78}, journal = {Knowl. Inf. Syst.}, number = 3, pages = {287-312}, title = {Multirelational classification: a multiple view approach.}, url = {http://dblp.uni-trier.de/db/journals/kais/kais17.html#GuoV08}, volume = 17, year = 2008 } @inproceedings{conf/cikm/ZhangTLW07, author = {Zhang, Duo and Tang, Jie and Li, Juan-Zi and Wang, Kehong}, booktitle = {CIKM}, crossref = {conf/cikm/2007}, date = {2007-12-10}, editor = {Silva, Mário J. and Laender, Alberto H. F. and Baeza-Yates, Ricardo A. and McGuinness, Deborah L. and Olstad, Bjørn and Olsen, Øystein Haug and Falcão, André O.}, ee = {http://doi.acm.org/10.1145/1321440.1321600}, interhash = {c46bb587aa7f5ca30e77e257e2f3c5b0}, intrahash = {210a9f932dc4c454e8a84ca6eb4906d8}, isbn = {978-1-59593-803-9}, pages = {1019-1022}, publisher = {ACM}, title = {A constraint-based probabilistic framework for name disambiguation.}, url = {http://dblp.uni-trier.de/db/conf/cikm/cikm2007.html#ZhangTLW07}, year = 2007 } @inproceedings{1661779, abstract = {A folksonomy refers to a collection of user-defined tags with which users describe contents published on the Web. With the flourish of Web 2.0, folksonomies have become an important mean to develop the Semantic Web. Because tags in folksonomies are authored freely, there is a need to understand the structure and semantics of these tags in various applications. In this paper, we propose a learning approach to create an ontology that captures the hierarchical semantic structure of folksonomies. Our experimental results on two different genres of real world data sets show that our method can effectively learn the ontology structure from the folksonomies.}, address = {San Francisco, CA, USA}, author = {Tang, Jie and fung Leung, Ho and Luo, Qiong and Chen, Dewei and Gong, Jibin}, booktitle = {IJCAI'09: Proceedings of the 21st international jont conference on Artifical intelligence}, interhash = {17f95a6ba585888cf45443926d8b7e98}, intrahash = {7b335f08a288a79eb70eff89f1ec7630}, location = {Pasadena, California, USA}, pages = {2089--2094}, publisher = {Morgan Kaufmann Publishers Inc.}, title = {Towards ontology learning from folksonomies}, url = {http://ijcai.org/papers09/Papers/IJCAI09-344.pdf}, year = 2009 } @proceedings{30474, author = {Tresp, Volker and Bundschus, Markus and Rettinger, Achim and Huang, Yi}, interhash = {e27fbf5b5fb16f66cd0c7a3932fc4695}, intrahash = {006468688804bc3563225b8dcd7aea97}, journal = {Uncertainty Reasoning for the Semantic Web I Lecture Notes in AI}, publisher = {Springer}, title = {Towards machine learning on the semantic web}, url = {http://wwwbrauer.informatik.tu-muenchen.de/~trespvol/papers/LearningRDF23.pdf}, year = 2008 } @inproceedings{conf/grc/ZhangZ05b, author = {Zhang, Min-Ling and Zhou, Zhi-Hua}, booktitle = {GrC}, crossref = {conf/grc/2005}, date = {2007-03-22}, editor = {Hu, Xiaohua and Liu, Qing and Skowron, Andrzej and Lin, Tsau Young and Yager, Ronald R. and Zhang, Bo}, ee = {http://doi.ieeecomputersociety.org/10.1109/GRC.2005.1547385}, interhash = {3c58a80457442249a999a2ceea877565}, intrahash = {3460603745790c4824a9bdb572e64777}, isbn = {0-7803-9017-2}, pages = {718-721}, publisher = {IEEE}, title = {A k-nearest neighbor based algorithm for multi-label classification.}, url = {http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/grc05.pdf}, year = 2005 }