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
Cristina ManfredottiAgroParisTechVerified email at diku.dk
David KirkpatrickProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Eisa AlanaziAssociate Professor of Comp. Sci., Umm Al-Qura UniversityVerified email at uqu.edu.sa
Ashwani KumarFarm Credit Canada, Data Scientist/ Senior DeveloperVerified email at uregina.ca
Ariel FelnerBen-Gurion UniversityVerified email at bgu.ac.il
Roni SternBen Gurion University of the Negev, Palo Alto Research Center (PARC)Verified email at post.bgu.ac.il
Mehdi SadeqiAdjunct Professor, University of Regina, Department of Computer ScienceVerified email at uregina.ca
Pavel SemukhinUniversity of OxfordVerified email at semukhin.name
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerified email at cs.wisc.edu
Anna RaffertyAssistant Professor, Carleton CollegeVerified email at carleton.edu
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
Frank StephanNational University of SingaporeVerified email at comp.nus.edu.sg
Walid HouryProfessor of Biochemistry, University of TorontoVerified email at utoronto.ca
Gaojian FanPh.D. Student, Computing Science, University of AlbertaVerified email at ualberta.ca
David J FleetGoogle Brain; University of Toronto; Universiity of Toronto Scarborough; Vector InstituteVerified email at cs.toronto.edu

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
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	88	2011
Learning heuristic functions for large state spaces SJ Arfaee, S Zilles, RC Holte Artificial Intelligence 175 (16-17), 2075-2098, 2011	81	2011
An overview of machine teaching X Zhu, A Singla, S Zilles, AN Rafferty arXiv preprint arXiv:1801.05927, 2018	69	2018
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	60	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	59	2008
Learning recursive functions: A survey T Zeugmann, S Zilles Theoretical Computer Science 397 (1-3), 4-56, 2008	44	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	31	2017
Predicting the size of IDA* ʼs search tree LHS Lelis, S Zilles, RC Holte Artificial Intelligence 196, 53-76, 2013	31	2013
Bootstrap learning of heuristic functions S Jabbari Arfaee	31	2010
Recursive teaching dimension, learning complexity, and maximum classes T Doliwa, HU Simon, S Zilles International Conference on Algorithmic Learning Theory, 209-223, 2010	30	2010
The computational complexity of avoiding spurious states in state space abstraction S Zilles, RC Holte Artificial Intelligence 174 (14), 1072-1092, 2010	29	2010
Preference-based teaching Z Gao, C Ries, H Simon, S Zilles Conference on Learning Theory, 971-997, 2016	27	2016
Towards a better understanding of incremental learning S Jain, S Lange, S Zilles International Conference on Algorithmic Learning Theory, 169-183, 2006	25	2006
Formal language identification: Query learning vs. Gold-style learning S Lange, S Zilles Information Processing Letters 91 (6), 285-292, 2004	23	2004
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	21	2013
Teaching Dimensions based on Cooperative Learning. S Zilles, S Lange, R Holte, M Zinkevich COLT, 135-146, 2008	21	2008
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	19	2017
Comparison of query learning and Gold-style learning in dependence of the hypothesis space S Lange, S Zilles International Conference on Algorithmic Learning Theory, 99-113, 2004	19	2004
Relations between Gold-style learning and query learning S Lange, S Zilles Information and Computation 203 (2), 211-237, 2005	18	2005
Replacing limit learners with equally powerful one-shot query learners S Lange, S Zilles International Conference on Computational Learning Theory, 155-169, 2004	18	2004

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