Ron Meir
Ron Meir
Professor of Electrical Engineeringe, Technion
Zweryfikowany adres z ee.technion.ac.il - Strona główna
Tytuł
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
9922004
An introduction to boosting and leveraging
R Meir, G Rätsch
Advanced lectures on machine learning, 118-183, 2003
6402003
Reinforcement learning with Gaussian processes
Y Engel, S Mannor, R Meir
Proceedings of the 22nd international conference on Machine learning, 201-208, 2005
4332005
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
2602003
Expectation backpropagation: Parameter-free training of multilayer neural networks with continuous or discrete weights.
D Soudry, I Hubara, R Meir
NIPS 1, 2, 2014
2192014
Generalization error bounds for Bayesian mixture algorithms
R Meir, T Zhang
The Journal of Machine Learning Research 4, 839-860, 2003
1562003
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
1461992
Computing with arrays of coupled oscillators: An application to preattentive texture discrimination
P Baldi, R Meir
Neural Computation 2 (4), 458-471, 1990
1441990
Nonparametric time series prediction through adaptive model selection
R Meir
Machine learning 39 (1), 5-34, 2000
1292000
Semantic-oriented 3d shape retrieval using relevance feedback
G Leifman, R Meir, A Tal
The Visual Computer 21 (8), 865-875, 2005
1202005
Almost linear VC-dimension bounds for piecewise polynomial networks
PL Bartlett, V Maiorov, R Meir
Neural computation 10 (8), 2159-2173, 1998
1141998
Sparse online greedy support vector regression
Y Engel, S Mannor, R Meir
Machine Learning: ECML 2002, 1-3, 2002
1112002
Advanced lectures on machine learning
CE Rasmussen
Gaussian Processes in Machine Learning, 63-71, 2004
105*2004
Reinforcement learning, spike-time-dependent plasticity, and the BCM rule
D Baras, R Meir
Neural computation 19 (8), 2245-2279, 2007
972007
Layered neural networks
E Domany, R Meir
Models of neural networks, 307-334, 1991
971991
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
952016
Learning by choice of internal representations
T Grossman, R Meir, E Domany
Complex Systems 2 (5), 555-575, 1988
941988
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
862003
Density estimation through convex combinations of densities: approximation and estimation bounds
AJ Zeevi, R Meir
Neural Networks 10 (1), 99-109, 1997
851997
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
831998
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