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
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
Marta AriasAssociate Professor, Universitat Politècnica de CatalunyaVerified email at lsi.upc.edu
Alan FernOregon State UniversityVerified email at oregonstate.edu
Yuyang (Bernie) WangPrincipal Scientist, AWS AIVerified email at mit.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
Prof Markos TrichasBAE Systems, University of PlymouthVerified email at baesystems.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
Hao CuiResearch Scientist, Google ResearchVerified email at google.com
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
Yadi WeiIndiana UniversityVerified email at iu.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	323	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	284	2003
Learning action strategies for planning domains R Khardon Artificial Intelligence 113 (1-2), 125-148, 1999	191	1999
Learning to reason R Khardon, D Roth Journal of the ACM (JACM) 44 (5), 697-725, 1997	144	1997
Noise Tolerant Variants of the Perceptron Algorithm. R Khardon, G Wachman Journal of Machine Learning Research 8 (2), 2007	135	2007
Reasoning with models R Khardon, D Roth Artificial Intelligence 87 (1-2), 187-213, 1996	129	1996
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	115	2011
First order decision diagrams for relational MDPs C Wang, S Joshi, R Khardon Journal of Artificial Intelligence Research 31, 431-472, 2008	112	2008
Learning to take actions R Khardon Machine Learning 35, 57-90, 1999	106	1999
Translating between Horn representations and their characteristic models R Khardon Journal of Artificial Intelligence Research 3, 349-372, 1995	91	1995
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	66	2012
Learning function-free Horn expressions R Khardon Machine Learning 37, 241-275, 1999	66	1999
The first learning track of the international planning competition A Fern, R Khardon, P Tadepalli Machine Learning 84, 81-107, 2011	53	2011
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
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	50	2001
Nonparametric Bayesian estimation of periodic light curves Y Wang, R Khardon, P Protopapas The Astrophysical Journal 756 (1), 67, 2012	47	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	43	2012
Learning to reason with a restricted view R Khardon, D Roth Machine Learning 35 (2), 95-116, 1999	43*	1999
Reasoning with examples: Propositional formulae and database dependencies R Khardon, H Mannila, D Roth Acta Informatica 36, 267-286, 1999	42	1999
Reasoning with models R Khardon, D Roth AAAI 94, 1148-1153, 1994	42	1994

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