Roni Khardon

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Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Saket JoshiApplied Scientist, AmazonVerified email at amazon.com
Marta AriasAssociate Professor, Universitat Politècnica de CatalunyaVerified email at lsi.upc.edu
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
Yuyang (Bernie) WangPrincipal Scientist, AWS AIVerified email at mit.edu
Alan FernOregon State UniversityVerified email at eecs.oregonstate.edu
YONG IK BYUNYonsei University, Seoul, KoreaVerified email at yonsei.ac.kr
Dae-Won KimETRI (한국전자통신연구원)Verified email at etri.re.kr
Charles AlcockVerified email at cfa.harvard.edu
Rishit ShethPostdoctoral researcher, Microsoft ResearchVerified email at microsoft.com
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Dimitrios GunopulosNational and Kapodistrian University of AthensVerified email at di.uoa.gr
Markos TrichasAirbus Defence and SpaceVerified email at astrium.eads.net
Aswin RaghavanSRI InternationalVerified email at sri.com
Hao CuiGoogle Inc.Verified email at tufts.edu
Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Rosie JonesDirector of Research in Language Technologies, SpotifyVerified email at acm.org
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
Gemma GarrigaINRIAVerified email at inria.fr
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu

Roni Khardon

Professor of Computer Science, Indiana University, Bloomington

Verified email at iu.edu - Homepage

Machine Learning Artificial Intelligence Theory


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Data mining, hypergraph transversals, and machine learning D Gunopulos, H Mannila, R Khardon, H Toivonen Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on …, 1997	301	1997
Discovering all most specific sentences D Gunopulos, R Khardon, H Mannila, S Saluja, H Toivonen, RS Sharma ACM Transactions on Database Systems (TODS) 28 (2), 140-174, 2003	272	2003
Learning action strategies for planning domains R Khardon Artificial Intelligence 113 (1-2), 125-148, 1999	170	1999
Noise Tolerant Variants of the Perceptron Algorithm. R Khardon, G Wachman Journal of Machine Learning Research 8 (2), 2007	127	2007
Reasoning with models R Khardon, D Roth Artificial Intelligence 87 (1-2), 187-213, 1996	124	1996
Learning to take actions R Khardon Machine Learning 35 (1), 57-90, 1999	105	1999
Quasi-stellar object selection algorithm using time variability and machine learning: Selection of 1620 quasi-stellar object candidates from MACHO Large Magellanic Cloud database DW Kim, P Protopapas, YI Byun, C Alcock, R Khardon, M Trichas The Astrophysical Journal 735 (2), 68, 2011	96	2011
First order decision diagrams for relational MDPs C Wang, S Joshi, R Khardon Journal of Artificial Intelligence Research 31, 431-472, 2008	96	2008
Generalization bounds for online learning algorithms with pairwise loss functions Y Wang, R Khardon, D Pechyony, R Jones Conference on Learning Theory, 13.1-13.22, 2012	85	2012
Learning to reason R Khardon, D Roth Journal of the ACM (JACM) 44 (5), 697-725, 1997	78	1997
Translating between Horn representations and their characteristic models R Khardon Journal of Artificial Intelligence Research 3, 349-372, 1995	78	1995
Learning function-free Horn expressions R Khardon Machine Learning 37 (3), 241-275, 1999	67	1999
Kernels for periodic time series arising in astronomy G Wachman, R Khardon, P Protopapas, CR Alcock Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009	51	2009
Learning to reason R Khardon, D Roth AAAI, 682-687, 1994	51	1994
The first learning track of the international planning competition A Fern, R Khardon, P Tadepalli Machine Learning 84 (1), 81-107, 2011	43	2011
Efficiency versus convergence of Boolean kernels for on-line learning algorithms R Khardon, D Roth, RA Servedio Advances in Neural Information Processing Systems 14, 2001	43	2001
Learning to reason with a restricted view R Khardon, D Roth Machine Learning 35 (2), 95-116, 1999	42*	1999
Reasoning with models R Khardon, D Roth AAAI 94, 1148-1153, 1994	41	1994
On Mining Closed Sets in Multi-Relational Data. GC Garriga, R Khardon, L De Raedt IJCAI 7, 804-809, 2007	39	2007
Reasoning with examples: Propositional formulae and database dependencies R Khardon, H Mannila, D Roth Acta Informatica 36 (4), 267-286, 1999	39	1999

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