Követés
Sandra Zilles
Sandra Zilles
Professor, Computer Science, University of Regina
E-mail megerősítve itt: cs.uregina.ca
Cím
Hivatkozott rá
Hivatkozott rá
Év
An overview of machine teaching
X Zhu, A Singla, S Zilles, AN Rafferty
arXiv preprint arXiv:1801.05927, 2018
2072018
Learning heuristic functions for large state spaces
SJ Arfaee, S Zilles, RC Holte
Artificial Intelligence 175 (16-17), 2075-2098, 2011
1392011
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
1212011
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
802014
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
732008
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
662017
Learning recursive functions: A survey
T Zeugmann, S Zilles
Theoretical Computer Science 397 (1-3), 4-56, 2008
612008
Preference-based teaching
Z Gao, C Ries, HU Simon
Journal of Machine Learning Research 18 (31), 1-32, 2017
502017
Bootstrap learning of heuristic functions
SJ Arfaee, S Zilles, R Holte
Proceedings of the International Symposium on Combinatorial Search 1 (1), 52-60, 2010
482010
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
412017
Recursive teaching dimension, learning complexity, and maximum classes
T Doliwa, HU Simon, S Zilles
International Conference on Algorithmic Learning Theory, 209-223, 2010
372010
Predicting the size of IDA* ʼs search tree
LHS Lelis, S Zilles, RC Holte
Artificial Intelligence 196, 53-76, 2013
332013
The computational complexity of avoiding spurious states in state space abstraction
S Zilles, RC Holte
Artificial Intelligence 174 (14), 1072-1092, 2010
282010
Teaching Dimensions based on Cooperative Learning.
S Zilles, S Lange, R Holte, M Zinkevich
COLT, 135-146, 2008
282008
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
252013
Formal language identification: Query learning vs. Gold-style learning
S Lange, S Zilles
Information Processing Letters 91 (6), 285-292, 2004
252004
The Complexity of Learning Acyclic CP-Nets.
E Alanazi, M Mouhoub, S Zilles
IJCAI, 1361-1367, 2016
242016
Towards a better understanding of incremental learning
S Jain, S Lange, S Zilles
Algorithmic Learning Theory: 17th International Conference, ALT 2006 …, 2006
242006
Learning relational patterns
M Geilke, S Zilles
International Conference on Algorithmic Learning Theory, 84-98, 2011
222011
The challenges facing deep learning–based catheter localization for ultrasound guided high‐dose‐rate prostate brachytherapy
D Liu, S Tupor, J Singh, T Chernoff, N Leong, E Sadikov, A Amjad, S Zilles
Medical Physics 49 (4), 2442-2451, 2022
192022
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Cikkek 1–20