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## Search the dblp DataBase
Ron Meir:
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## Publications of Author- 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] - 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] - Shie Mannor, Ron Meir
**Geometric Bounds for Generalization in Boosting.**[Citation Graph (0, 0)][DBLP] COLT/EuroCOLT, 2001, pp:461-472 [Conf] - Shie Mannor, Ron Meir, Tong Zhang
**The Consistency of Greedy Algorithms for Classification.**[Citation Graph (0, 0)][DBLP] COLT, 2002, pp:319-333 [Conf] - Ron Meir
**Performance Bounds for Nonlinear Time Series Prediction.**[Citation Graph (0, 0)][DBLP] COLT, 1997, pp:122-129 [Conf] - Ron Meir, Ran El-Yaniv, Shai Ben-David
**Localized Boosting.**[Citation Graph (0, 0)][DBLP] COLT, 2000, pp:190-199 [Conf] - 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] - Philip Derbeko, Ran El-Yaniv, Ron Meir
**Variance Optimized Bagging.**[Citation Graph (0, 0)][DBLP] ECML, 2002, pp:60-71 [Conf] - Yaakov Engel, Shie Mannor, Ron Meir
**Sparse Online Greedy Support Vector Regression.**[Citation Graph (0, 0)][DBLP] ECML, 2002, pp:84-96 [Conf] - 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] - 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] - Yaakov Engel, Shie Mannor, Ron Meir
**Reinforcement learning with Gaussian processes.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:201-208 [Conf] - Ron Meir, Gunnar Rätsch
**An Introduction to Boosting and Leveraging.**[Citation Graph (0, 0)][DBLP] Machine Learning Summer School, 2002, pp:118-183 [Conf] - 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] - 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] - Shie Mannor, Ron Meir
**Weak Learners and Improved Rates of Convergence in Boosting.**[Citation Graph (0, 0)][DBLP] NIPS, 2000, pp:280-286 [Conf] - Ron Meir
**Structural Risk Minimization for Nonparametric Time Series Prediction.**[Citation Graph (0, 0)][DBLP] NIPS, 1997, pp:- [Conf] - Ron Meir, Vitaly Maiorov
**On the Optimality of Incremental Neural Network Algorithms.**[Citation Graph (0, 0)][DBLP] NIPS, 1998, pp:295-301 [Conf] - Ron Meir, Tong Zhang
**Data-Dependent Bounds for Bayesian Mixture Methods.**[Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:319-326 [Conf] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] **A neural network implementing optimal state estimation based on dynamic spike train decoding.**[Citation Graph (, )][DBLP]**Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation.**[Citation Graph (, )][DBLP]**On the near optimality of the stochastic approximation of smooth functions by neural networks.**[Citation Graph (, )][DBLP]
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