Sandra Zilles

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Robert HolteUniversity of AlbertaVerified email at ualberta.ca
Hans Ulrich SimonRetired Professor, Dept. of Math., Ruhr-University BochumVerified email at rub.de
Levi LelisUniversity of AlbertaVerified email at ualberta.ca
Howard J HamiltonProfessor of Computer Science, University of ReginaVerified email at cs.uregina.ca
Sanjay JainProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
David KirkpatrickProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Eisa AlanaziIndependent ResearcherVerified email at uqu.edu.sa
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerified email at cs.wisc.edu
Anna RaffertyAssistant Professor, Carleton CollegeVerified email at carleton.edu
Cristina ManfredottiAgroParisTechVerified email at agroparistech.fr
Ariel FelnerBen-Gurion UniversityVerified email at bgu.ac.il
Roni SternBen Gurion University of the Negev, Palo Alto Research Center (PARC)Verified email at bgu.ac.il
Pavel SemukhinLiverpool John Moores UniversityVerified email at semukhin.name
Mohan BabuUniversity of ReginaVerified email at uregina.ca
Elham ParhizkarPostdoctoral Research Fellow, University of AlbertaVerified email at ualberta.ca
Mehdi SadeqiAdjunct Professor, University of Regina, Department of Computer ScienceVerified email at uregina.ca
Sadhna PhanseSenior Analyst, University of Regina, Oregon Health and Science UniversityVerified email at ohsu.edu
Frank StephanNational University of Singapore, Department of Mathematics and Department of Computer ScienceVerified email at comp.nus.edu.sg
Walid HouryProfessor of Biochemistry, University of TorontoVerified email at utoronto.ca

Sandra Zilles

Professor, Computer Science, University of Regina

Verified email at cs.uregina.ca

Computational Learning Theory Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An overview of machine teaching X Zhu, A Singla, S Zilles, AN Rafferty arXiv preprint arXiv:1801.05927, 2018	197	2018
Learning heuristic functions for large state spaces SJ Arfaee, S Zilles, RC Holte Artificial Intelligence 175 (16-17), 2075-2098, 2011	129	2011
Models of cooperative teaching and learning. S Zilles, S Lange, R Holte, M Zinkevich, N Cesa-Bianchi Journal of Machine Learning Research 12 (2), 2011	119	2011
Recursive teaching dimension, VC-dimension and sample compression T Doliwa, G Fan, HU Simon, S Zilles The Journal of Machine Learning Research 15 (1), 3107-3131, 2014	78	2014
Learning indexed families of recursive languages from positive data: a survey S Lange, T Zeugmann, S Zilles Theoretical Computer Science 397 (1-3), 194-232, 2008	67	2008
Front-to-end bidirectional heuristic search with near-optimal node expansions J Chen, RC Holte, S Zilles, NR Sturtevant arXiv preprint arXiv:1703.03868, 2017	60	2017
Learning recursive functions: A survey T Zeugmann, S Zilles Theoretical Computer Science 397 (1-3), 4-56, 2008	54	2008
Preference-based teaching Z Gao, C Ries, HU Simon Journal of Machine Learning Research 18 (31), 1-32, 2017	48	2017
Bootstrap learning of heuristic functions SJ Arfaee, S Zilles, R Holte Proceedings of the International Symposium on Combinatorial Search 1 (1), 52-60, 2010	47	2010
Sufficient conditions for node expansion in bidirectional heuristic search J Eckerle, J Chen, N Sturtevant, S Zilles, R Holte Proceedings of the International Conference on Automated Planning and …, 2017	36	2017
Recursive teaching dimension, learning complexity, and maximum classes T Doliwa, HU Simon, S Zilles International Conference on Algorithmic Learning Theory, 209-223, 2010	36	2010
Predicting the size of IDA* ʼs search tree LHS Lelis, S Zilles, RC Holte Artificial Intelligence 196, 53-76, 2013	32	2013
The computational complexity of avoiding spurious states in state space abstraction S Zilles, RC Holte Artificial Intelligence 174 (14), 1072-1092, 2010	28	2010
Teaching Dimensions based on Cooperative Learning. S Zilles, S Lange, R Holte, M Zinkevich COLT, 135-146, 2008	28	2008
Stratified tree search: a novel suboptimal heuristic search algorithm LHS Lelis, S Zilles, RC Holte Proceedings of the 2013 international conference on Autonomous agents and …, 2013	25	2013
Formal language identification: Query learning vs. Gold-style learning S Lange, S Zilles Information Processing Letters 91 (6), 285-292, 2004	25	2004
Towards a better understanding of incremental learning S Jain, S Lange, S Zilles Algorithmic Learning Theory: 17th International Conference, ALT 2006 …, 2006	24	2006
The Complexity of Learning Acyclic CP-Nets. E Alanazi, M Mouhoub, S Zilles IJCAI, 1361-1367, 2016	22	2016
Replacing limit learners with equally powerful one-shot query learners S Lange, S Zilles International Conference on Computational Learning Theory, 155-169, 2004	20	2004
Comparison of query learning and Gold-style learning in dependence of the hypothesis space S Lange, S Zilles Algorithmic Learning Theory: 15th International Conference, ALT 2004, Padova …, 2004	20	2004

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