Roni Khardon

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Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Pavlos ProtopapasHarvardVerified email at seas.harvard.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 AI LabsVerified email at mit.edu
Alan FernOregon State UniversityVerified email at oregonstate.edu
YONG IK BYUNYonsei University, Seoul, KoreaVerified email at yonsei.ac.kr
Dae-Won KimETRI (한국전자통신연구원)Verified email at etri.re.kr
Heikki MannilaAalto UniversityVerified email at aalto.fi
Rishit ShethSenior researcher, Microsoft ResearchVerified email at microsoft.com
Charles AlcockVerified email at cfa.harvard.edu
Rocco Anthony ServedioDepartment of Computer Science, Columbia UniversityVerified email at columbia.edu
Markos TrichasAirbus Defence and SpaceVerified email at astrium.eads.net
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
Hao CuiGoogle Inc.Verified email at tufts.edu
Aswin RaghavanSRI InternationalVerified email at sri.com
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Rosie JonesDirector of Research in Language Technologies, SpotifyVerified email at acm.org

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	311	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	275	2003
Learning action strategies for planning domains R Khardon Artificial Intelligence 113 (1-2), 125-148, 1999	179	1999
Noise Tolerant Variants of the Perceptron Algorithm. R Khardon, G Wachman Journal of Machine Learning Research 8 (2), 2007	133	2007
Reasoning with models R Khardon, D Roth Artificial Intelligence 87 (1-2), 187-213, 1996	127	1996
Learning to take actions R Khardon Machine Learning 35, 57-90, 1999	107	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	102	2011
First order decision diagrams for relational MDPs C Wang, S Joshi, R Khardon Journal of Artificial Intelligence Research 31, 431-472, 2008	102	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	94	2012
Learning to reason R Khardon, D Roth Journal of the ACM (JACM) 44 (5), 697-725, 1997	82	1997
Translating between Horn representations and their characteristic models R Khardon Journal of Artificial Intelligence Research 3, 349-372, 1995	79	1995
Learning function-free Horn expressions R Khardon Machine Learning 37 (3), 241, 1999	66	1999
Kernels for periodic time series arising in astronomy G Wachman, R Khardon, P Protopapas, CR Alcock Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	52	2009
Learning to reason R Khardon, D Roth AAAI, 682-687, 1994	52	1994
The first learning track of the international planning competition A Fern, R Khardon, P Tadepalli Machine Learning 84, 81-107, 2011	47	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	45	2001
Learning to reason with a restricted view R Khardon, D Roth Machine Learning 35, 95-116, 1999	44*	1999
Nonparametric Bayesian estimation of periodic light curves Y Wang, R Khardon, P Protopapas The Astrophysical Journal 756 (1), 67, 2012	41	2012
A refined QSO selection method using diagnostics tests: 663 QSO candidates in the Large Magellanic Cloud DW Kim, P Protopapas, M Trichas, M Rowan-Robinson, R Khardon, ... The Astrophysical Journal 747 (2), 107, 2012	41	2012
Reasoning with models R Khardon, D Roth AAAI 94, 1148-1153, 1994	41	1994

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