Christian R. Shelton

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Daphne KollerCEO and Founder, insitroEmail yang diverifikasi di insitro.com
Zhen QinGoogle DeepMindEmail yang diverifikasi di google.com
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideEmail yang diverifikasi di cs.ucr.edu
Suresh VenkatasubramanianBrown UniversityEmail yang diverifikasi di brown.edu
Lydia E. KavrakiRice UniversityEmail yang diverifikasi di rice.edu
Jean-Claude LatombeProfessor of computer science, Stanford universityEmail yang diverifikasi di cs.Stanford.edu
Dan HalperinProfessor of Computer Science, Tel Aviv UniversityEmail yang diverifikasi di tauex.tau.ac.il
Paul William FinnOxford Drug Design Limited, University of Buckingham, Affinity Drug DesignEmail yang diverifikasi di oxforddrugdesign.com
Thomas GirkeProfessor of BioinformaticsEmail yang diverifikasi di ucr.edu
Peter StoneProfessor of Computer Science, The University of Texas at AustinEmail yang diverifikasi di cs.utexas.edu
Michael KearnsProfessor of Computer Science, University of PennsylvaniaEmail yang diverifikasi di cis.upenn.edu
Satinder SinghGoogle DeepMind / U. of MichiganEmail yang diverifikasi di umich.edu
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITEmail yang diverifikasi di ai.mit.edu
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn UniversityEmail yang diverifikasi di chula.ac.th
Bryan M. WongUniversity of California, RiversideEmail yang diverifikasi di alum.mit.edu
Mike IzbickiClaremont McKenna CollegeEmail yang diverifikasi di izbicki.me
Chengkuan HongTsinghua UniversityEmail yang diverifikasi di ucr.edu
Victor ZordanProfessor of Computer Science, Clemson UniversityEmail yang diverifikasi di g.clemson.edu
E. Busra CelikkayaAmazonEmail yang diverifikasi di amazon.com
Antony LamMercari, Inc.Email yang diverifikasi di mercari.com

Ikuti

Christian R. Shelton

Professor, University of California, Riverside

Email yang diverifikasi di cs.ucr.edu - Beranda

machine learning point processes artificial intelligence graphical models


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Fast time series classification using numerosity reduction X Xi, E Keogh, C Shelton, L Wei, CA Ratanamahatana Proceedings of the 23rd international conference on Machine learning, 1033-1040, 2006	734	2006
Continuous time Bayesian networks U Nodelman, CR Shelton, D Koller Uncertainty in Artificial Intelligence, 2002	398*	2002
Momentum control for balance A Macchietto, V Zordan, CR Shelton ACM SIGGRAPH 2009 papers, 1-8, 2009	273	2009
A social reinforcement learning agent C Isbell, CR Shelton, M Kearns, S Singh, P Stone Proceedings of the fifth international conference on Autonomous agents, 377-384, 2001	228	2001
Annotating genes of known and unknown function by large-scale coexpression analysis K Horan, C Jang, J Bailey-Serres, R Mittler, C Shelton, JF Harper, JK Zhu, ... Plant physiology 147 (1), 41-57, 2008	211	2008
Automated, highly-accurate, bug assignment using machine learning and tossing graphs P Bhattacharya, I Neamtiu, CR Shelton Journal of Systems and Software 85 (10), 2275-2292, 2012	193	2012
Learning continuous time Bayesian networks U Nodelman, CR Shelton, D Koller Uncertainty in Artificial Intelligence, 2003	188*	2003
Improving Multi-target Tracking via Social Grouping Z Qin, CR Shelton IEEE Conference on Computer Vision and Pattern Recognition, 2012	184	2012
Cobot in LambdaMOO: An adaptive social statistics agent CL Isbell, M Kearns, S Singh, CR Shelton, P Stone, D Kormann Autonomous Agents and Multi-Agent Systems 13, 327-354, 2006	152	2006
Morphable surface models CR Shelton International Journal of Computer Vision 38, 75-91, 2000	142	2000
A perturbation scheme for spherical arrangements with application to molecular modeling D Halperin, CR Shelton Proceedings of the thirteenth annual symposium on Computational geometry …, 1997	124	1997
An electronic market-maker NT Chan, C Shelton	114	2001
A continuation method for Nash equilibria in structured games B Blum, CR Shelton, D Koller Journal of Artificial Intelligence Research 25, 457-502, 2006	113	2006
Intrusion detection using continuous time Bayesian networks J Xu, CR Shelton Journal of Artificial Intelligence Research 39, 745-774, 2010	109	2010
Importance sampling for reinforcement learning with multiple objectives CR Shelton	107	2001
Expectation maximization and complex duration distributions for continuous time Bayesian networks U Nodelman, CR Shelton, D Koller Uncertainty in Artificial Intelligence, 2005	106*	2005
Machine learning, machine vision, and the brain T Poggio, CR Shelton AI Magazine 20 (3), 37-37, 1999	99	1999
Rapid: Randomized pharmacophore identification for drug design PW Finn, LE Kavraki, JC Latombe, R Motwani, C Shelton, ... Proceedings of the thirteenth annual symposium on Computational geometry …, 1997	99	1997
Learning from scarce experience L Peshkin, CR Shelton International Conference on Machine Learning, 2002	98	2002
Expectation propagation for continuous time Bayesian networks U Nodelman, D Koller, CR Shelton Uncertainty in Artificial Intelligence, 2005	93*	2005

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