Ron Meir

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	Wszystkie	Od 2018
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Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchZweryfikowany adres z technion.ac.il
Yaakov EngelAppleZweryfikowany adres z apple.com
Daniel SoudryAssociate ProfessorZweryfikowany adres z technion.ac.il
Eytan DomanyWeizmann Institute of ScienceZweryfikowany adres z weizmann.ac.il
Ran El-YanivProfessor of Computer Science, Technion - Israel Institute of Technology. Chief Scientist - Deci AIZweryfikowany adres z cs.technion.ac.il
J F FontanariInstituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, BrazilZweryfikowany adres z ifsc.usp.br
assaf zeeviColumbia universityZweryfikowany adres z gsb.columbia.edu
Gunnar RätschProfessor, ETH ZürichZweryfikowany adres z inf.ethz.ch
Tong ZhangHKUSTZweryfikowany adres z tongzhang-ml.org
Amir KarnielProfessor of Biomedical Engineering, Ben-Gurion University of the NegevZweryfikowany adres z bgu.ac.il
Ronen TalmonAssociate Professor, EE Department, TechnionZweryfikowany adres z ee.technion.ac.il
Omer BobrowskiAssociate Professor, Electrical and Computer Engineering, Technion - Israel Institute of TechnologyZweryfikowany adres z ee.technion.ac.il
Dotan Di CastroResearch Manager at Bosch-AI, Haifa, IsraelZweryfikowany adres z il.bosch.com
Aviv TamarTechnionZweryfikowany adres z technion.ac.il

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Ron Meir

Professor of Electrical Engineeringe, Technion

Zweryfikowany adres z ee.technion.ac.il - Strona główna

Information processing learning and control in natural and artificial systems The perception-action cycle


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
The kernel recursive least-squares algorithm Y Engel, S Mannor, R Meir IEEE Transactions on signal processing 52 (8), 2275-2285, 2004	1170	2004
An introduction to boosting and leveraging R Meir, G Rätsch Advanced lectures on machine learning, 118-183, 2003	673	2003
Reinforcement learning with Gaussian processes Y Engel, S Mannor, R Meir Proceedings of the 22nd international conference on Machine learning, 201-208, 2005	492	2005
Bayes meets Bellman: The Gaussian process approach to temporal difference learning Y Engel, S Mannor, R Meir MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE- 20 (1), 154, 2003	294	2003
Expectation backpropagation: Parameter-free training of multilayer neural networks with continuous or discrete weights D Soudry, I Hubara, R Meir Advances in neural information processing systems 27, 2014	287	2014
Generalization error bounds for Bayesian mixture algorithms R Meir, T Zhang The Journal of Machine Learning Research 4, 839-860, 2003	186	2003
Almost linear VC-dimension bounds for piecewise polynomial networks PL Bartlett, V Maiorov, R Meir Neural computation 10 (8), 2159-2173, 1998	168	1998
Meta-learning by adjusting priors based on extended PAC-Bayes theory R Amit, R Meir International Conference on Machine Learning, 205-214, 2018	166	2018
Computing with arrays of coupled oscillators: An application to preattentive texture discrimination P Baldi, R Meir Neural Computation 2 (4), 458-471, 1990	155	1990
A parallel gradient descent method for learning in analog VLSI neural networks J Alspector, R Meir, B Yuhas, A Jayakumar, D Lippe Advances in Neural Information Processing Systems 5,[NIPS Conference], 836-844, 1992	153	1992
Nonparametric time series prediction through adaptive model selection R Meir Machine learning 39 (1), 5-34, 2000	144	2000
Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis Y Dordek, D Soudry, R Meir, D Derdikman Elife 5, e10094, 2016	138	2016
Sparse online greedy support vector regression Y Engel, S Mannor, R Meir Machine Learning: ECML 2002, 1-3, 2002	131	2002
Semantic-oriented 3d shape retrieval using relevance feedback G Leifman, R Meir, A Tal The Visual Computer 21, 865-875, 2005	119	2005
Reinforcement learning, spike-time-dependent plasticity, and the BCM rule D Baras, R Meir Neural computation 19 (8), 2245-2279, 2007	101	2007
Layered neural networks E Domany, W Kinzel, R Meir Journal of Physics A: Mathematical and General 22 (12), 2081, 1989	100	1989
Density estimation through convex combinations of densities: approximation and estimation bounds AJ Zeevi, R Meir Neural Networks 10 (1), 99-109, 1997	93	1997
Learning by choice of internal representations T Grossman, R Meir, E Domany Advances in neural information processing systems 1, 1988	93	1988
Towards behaviometric security systems: Learning to identify a typist M Nisenson, I Yariv, R El-Yaniv, R Meir Knowledge Discovery in Databases: PKDD 2003, 363-374, 2003	92	2003
Approximation bounds for smooth functions in C (Rd) by neural and mixture networks V Maiorov, RS Meir Neural Networks, IEEE Transactions on 9 (5), 969-978, 1998	91	1998

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