Roni Khardon

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Dan RothProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
Pavlos ProtopapasHarvardAdresse e-mail validée de seas.harvard.edu
Saket JoshiApplied Scientist, AmazonAdresse e-mail validée de amazon.com
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityAdresse e-mail validée de eecs.oregonstate.edu
Marta AriasAssociate Professor, Universitat Politècnica de CatalunyaAdresse e-mail validée de lsi.upc.edu
Alan FernOregon State UniversityAdresse e-mail validée de oregonstate.edu
Yuyang (Bernie) WangPrincipal Scientist, AWS AIAdresse e-mail validée de mit.edu
YONG IK BYUNYonsei University, Seoul, KoreaAdresse e-mail validée de yonsei.ac.kr
Dae-Won KimETRI (한국전자통신연구원)Adresse e-mail validée de etri.re.kr
Heikki MannilaAalto UniversityAdresse e-mail validée de aalto.fi
Rishit ShethSenior researcher, Microsoft ResearchAdresse e-mail validée de microsoft.com
Charles AlcockAdresse e-mail validée de cfa.harvard.edu
Rocco Anthony ServedioDepartment of Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Prof Markos TrichasBAE Systems, University of PlymouthAdresse e-mail validée de baesystems.com
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiAdresse e-mail validée de helsinki.fi
Dimitrios GunopulosNational and Kapodistrian University of AthensAdresse e-mail validée de di.uoa.gr
Hao CuiResearch Scientist, Google ResearchAdresse e-mail validée de google.com
Aswin RaghavanSRI InternationalAdresse e-mail validée de sri.com
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISAdresse e-mail validée de cs.tu-darmstadt.de
Yadi WeiIndiana UniversityAdresse e-mail validée de iu.edu

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Roni Khardon

Professor of Computer Science, Indiana University, Bloomington

Adresse e-mail validée de iu.edu - Page d'accueil

Machine Learning Artificial Intelligence Theory


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	324	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	285	2003
Learning action strategies for planning domains R Khardon Artificial Intelligence 113 (1-2), 125-148, 1999	193	1999
Learning to reason R Khardon, D Roth Journal of the ACM (JACM) 44 (5), 697-725, 1997	146	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	130	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	117	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
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	55	2009
The first learning track of the international planning competition A Fern, R Khardon, P Tadepalli Machine Learning 84, 81-107, 2011	53	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	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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