The kernel recursive least-squares algorithm Y Engel, S Mannor, R Meir IEEE Transactions on signal processing 52 (8), 2275-2285, 2004 | 799 | 2004 |

An introduction to boosting and leveraging R Meir, G Rätsch Advanced lectures on machine learning, 118-183, 2003 | 576 | 2003 |

Reinforcement learning with Gaussian processes Y Engel, S Mannor, R Meir Proceedings of the 22nd international conference on Machine learning, 201-208, 2005 | 358 | 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 | 224 | 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, 963-971, 2014 | 137 | 2014 |

Computing with arrays of coupled oscillators: An application to preattentive texture discrimination P Baldi, R Meir Neural Computation 2 (4), 458-471, 1990 | 131 | 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 | 124 | 1992 |

Generalization error bounds for Bayesian mixture algorithms R Meir, T Zhang The Journal of Machine Learning Research 4, 839-860, 2003 | 121 | 2003 |

Nonparametric time series prediction through adaptive model selection R Meir Machine learning 39 (1), 5-34, 2000 | 115 | 2000 |

Sparse online greedy support vector regression Y Engel, S Mannor, R Meir Machine Learning: ECML 2002, 1-3, 2002 | 112 | 2002 |

Semantic-oriented 3d shape retrieval using relevance feedback G Leifman, R Meir, A Tal The Visual Computer 21 (8-10), 865-875, 2005 | 104 | 2005 |

Reinforcement learning, spike-time-dependent plasticity, and the BCM rule D Baras, R Meir Neural computation 19 (8), 2245-2279, 2007 | 91 | 2007 |

Layered neural networks E Domany, R Meir Models of neural networks, 307-334, 1991 | 91 | 1991 |

Learning by choice of internal representations T Grossman, R Meir, E Domany Advances in neural information processing systems, 73-80, 1989 | 91 | 1989 |

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 | 82 | 1998 |

Exact solution of a layered neural network model R Meir, E Domany Physical review letters 59 (3), 359-362, 1987 | 74 | 1987 |

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 | 73 | 2003 |

Almost linear VC-dimension bounds for piecewise polynomial networks PL Bartlett, V Maiorov, R Meir Neural computation 10 (8), 2159-2173, 1998 | 72 | 1998 |

Density estimation through convex combinations of densities: approximation and estimation bounds AJ Zeevi, R Meir Neural Networks 10 (1), 99-109, 1997 | 71 | 1997 |

Evolving a learning algorithm for the binary perceptron JF Fontanari, R Meir Network: Computation in Neural Systems 2 (4), 353-359, 1991 | 64 | 1991 |