The kernel recursive least-squares algorithm
Y. Engel;S. Mannor;R. Meir.
IEEE Transactions on Signal Processing (2004)
An introduction to boosting and leveraging
Ron Meir;Gunnar Rätsch.
Lecture Notes in Computer Science (2003)
Reinforcement learning with Gaussian processes
Yaakov Engel;Shie Mannor;Ron Meir.
international conference on machine learning (2005)
Bayes meets bellman: the Gaussian process approach to temporal difference learning
Yaakov Engel;Shie Mannor;Ron Meir.
international conference on machine learning (2003)
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
Daniel Soudry;Itay Hubara;Ron Meir.
neural information processing systems (2014)
Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks
Peter L. Bartlett;Vitaly Maiorov;Ron Meir.
neural information processing systems (1998)
Generalization error bounds for Bayesian mixture algorithms
Ron Meir;Tong Zhang.
Journal of Machine Learning Research (2003)
A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks
J. Alspector;R. Meir;B. Yuhas;A. Jayakumar.
neural information processing systems (1992)
Computing with arrays of coupled oscillators: an application to preattentive texture discrimination
Pierre Baldi;Ronny Meir.
Neural Computation (1990)
Nonparametric Time Series Prediction Through Adaptive ModelSelection
Ron Meir.
Machine Learning (2000)
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Technion – Israel Institute of Technology
Technical University of Berlin
Technion – Israel Institute of Technology
Weizmann Institute of Science
Technion – Israel Institute of Technology
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Weizmann Institute of Science
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