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
Ashwani KumarFarm Credit Canada, Data Scientist/ Senior DeveloperVerified email at uregina.ca
Eisa AlanaziIndependent ResearcherVerified email at uqu.edu.sa
Cristina ManfredottiAgroParisTechVerified email at agroparistech.fr
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerified email at cs.wisc.edu
Anna RaffertyAssistant Professor, Carleton CollegeVerified email at carleton.edu
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 SemukhinUniversity of OxfordVerified email at semukhin.name
Mehdi SadeqiAdjunct Professor, University of Regina, Department of Computer ScienceVerified email at uregina.ca
Mohan BabuUniversity of ReginaVerified email at uregina.ca
Sadhna PhanseBioinformatician, Unversity of Toronto, University of ReginaVerified email at utoronto.ca
Frank StephanNational University of SingaporeVerified 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	154	2018
Learning heuristic functions for large state spaces SJ Arfaee, S Zilles, RC Holte Artificial Intelligence 175 (16-17), 2075-2098, 2011	119	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	105	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	73	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	63	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	52	2017
Learning recursive functions: A survey T Zeugmann, S Zilles Theoretical Computer Science 397 (1-3), 4-56, 2008	48	2008
Bootstrap learning of heuristic functions SJ Arfaee, S Zilles, R Holte Proceedings of the International Symposium on Combinatorial Search 1 (1), 52-60, 2010	43	2010
Preference-based teaching Z Gao, C Ries, H Simon, S Zilles Conference on Learning Theory, 971-997, 2016	37	2016
Recursive teaching dimension, learning complexity, and maximum classes T Doliwa, HU Simon, S Zilles Algorithmic Learning Theory: 21st International Conference, ALT 2010 …, 2010	33	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	30	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	29	2017
Teaching Dimensions based on Cooperative Learning. S Zilles, S Lange, R Holte, M Zinkevich COLT, 135-146, 2008	25	2008
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
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
Relations between Gold-style learning and query learning S Lange, S Zilles Information and Computation 203 (2), 211-237, 2005	19	2005
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	19	2004
Replacing limit learners with equally powerful one-shot query learners S Lange, S Zilles Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff …, 2004	19	2004

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