The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

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]


Search in 0.421secs, Finished in 0.423secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002