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Ron Meir: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Arik Azran, Ron Meir
    Data Dependent Risk Bounds for Hierarchical Mixture of Experts Classifiers. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:427-441 [Conf]
  2. Ilya Desyatnikov, Ron Meir
    Data-Dependent Bounds for Multi-category Classification Based on Convex Losses. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:159-172 [Conf]
  3. Shie Mannor, Ron Meir
    Geometric Bounds for Generalization in Boosting. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:461-472 [Conf]
  4. Shie Mannor, Ron Meir, Tong Zhang
    The Consistency of Greedy Algorithms for Classification. [Citation Graph (0, 0)][DBLP]
    COLT, 2002, pp:319-333 [Conf]
  5. Ron Meir
    Performance Bounds for Nonlinear Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    COLT, 1997, pp:122-129 [Conf]
  6. Ron Meir, Ran El-Yaniv, Shai Ben-David
    Localized Boosting. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:190-199 [Conf]
  7. Joel Ratsaby, Ron Meir, Vitaly Maiorov
    Towards Robust Model Selection Using Estimation and Approximation Error Bounds. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:57-67 [Conf]
  8. Philip Derbeko, Ran El-Yaniv, Ron Meir
    Variance Optimized Bagging. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:60-71 [Conf]
  9. Yaakov Engel, Shie Mannor, Ron Meir
    Sparse Online Greedy Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:84-96 [Conf]
  10. Amir Karniel, Ron Meir, Gideon F. Inbar
    Polyhedral mixture of linear experts for many-to-one mapping inversion. [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:155-160 [Conf]
  11. Yaakov Engel, Shie Mannor, Ron Meir
    Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:154-161 [Conf]
  12. Yaakov Engel, Shie Mannor, Ron Meir
    Reinforcement learning with Gaussian processes. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:201-208 [Conf]
  13. Ron Meir, Gunnar Rätsch
    An Introduction to Boosting and Leveraging. [Citation Graph (0, 0)][DBLP]
    Machine Learning Summer School, 2002, pp:118-183 [Conf]
  14. Peter L. Bartlett, Vitaly Maiorov, Ron Meir
    Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:190-196 [Conf]
  15. Philip Derbeko, Ran El-Yaniv, Ron Meir
    Error Bounds for Transductive Learning via Compression and Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  16. Shie Mannor, Ron Meir
    Weak Learners and Improved Rates of Convergence in Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:280-286 [Conf]
  17. Ron Meir
    Structural Risk Minimization for Nonparametric Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  18. Ron Meir, Vitaly Maiorov
    On the Optimality of Incremental Neural Network Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:295-301 [Conf]
  19. Ron Meir, Tong Zhang
    Data-Dependent Bounds for Bayesian Mixture Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:319-326 [Conf]
  20. Dori Peleg, Ron Meir
    A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error Bound. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  21. Assaf J. Zeevi, Ron Meir, Robert J. Adler
    Time Series Prediction using Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:309-318 [Conf]
  22. Mordechai Nisenson, Ido Yariv, Ran El-Yaniv, Ron Meir
    Towards Behaviometric Security Systems: Learning to Identify a Typist. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:363-374 [Conf]
  23. Amir Karniel, Ron Meir, Gideon F. Inbar
    Polyhedral mixture of linear experts for many-to-one mapping inversion and multiple controllers. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:37, n:1-4, pp:31-49 [Journal]
  24. Philip Derbeko, Ran El-Yaniv, Ron Meir
    Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2004, v:22, n:, pp:117-142 [Journal]
  25. Shie Mannor, Ron Meir, Tong Zhang
    Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:713-741 [Journal]
  26. Ron Meir, Tong Zhang
    Generalization Error Bounds for Bayesian Mixture Algorithms. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:839-860 [Journal]
  27. Shie Mannor, Ron Meir
    On the Existence of Linear Weak Learners and Applications to Boosting. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:219-251 [Journal]
  28. Ron Meir
    Nonparametric Time Series Prediction Through Adaptive Model Selection. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:39, n:1, pp:5-34 [Journal]
  29. Peter L. Bartlett, Vitaly Maiorov, Ron Meir
    Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:8, pp:2159-2173 [Journal]
  30. Amir Karniel, Ron Meir, Gideon F. Inbar
    Best estimated inverse versus inverse of the best estimator. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:9, pp:1153-1159 [Journal]
  31. Vitaly Maiorov, Ron Meir
    Lower bounds for multivariate approximation by affine-invariant dictionaries. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2001, v:47, n:4, pp:1569-1575 [Journal]
  32. Ron Meir, Vitaly Maiorov
    Distortion bounds for vector quantizers with finite codebook size. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1999, v:45, n:5, pp:1621-1631 [Journal]
  33. Assaf J. Zeevi, Ron Meir, Vitaly Maiorov
    Error Bounds for Functional Approximation and Estimation Using Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1998, v:44, n:3, pp:1010-1025 [Journal]
  34. George Leifman, Ron Meir, Ayellet Tal
    Semantic-oriented 3d shape retrieval using relevance feedback. [Citation Graph (0, 0)][DBLP]
    The Visual Computer, 2005, v:21, n:8-10, pp:865-875 [Journal]
  35. Igor Zingman, Ron Meir, Ran El-Yaniv
    Size-density spectra and their application to image classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:12, pp:3336-3348 [Journal]

  36. A neural network implementing optimal state estimation based on dynamic spike train decoding. [Citation Graph (, )][DBLP]


  37. Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation. [Citation Graph (, )][DBLP]


  38. On the near optimality of the stochastic approximation of smooth functions by neural networks. [Citation Graph (, )][DBLP]


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