| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Dmitry Volkinshtein, Ron Meir |
Delayed feedback control requires an internal forward model.  |
Biological Cybernetics  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Philip Derbeko, Ran El-Yaniv, Ron Meir |
Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Aviv Tamar, Dotan Di Castro, Ron Meir |
Integrating Partial Model Knowledge in Model Free RL Algorithms. |
ICML |
2011 |
DBLP BibTeX RDF |
|
| 1 | Alex K. Susemihl, Ron Meir, Manfred Opper |
Analytical Results for the Error in Filtering of Gaussian Processes. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Dotan Di Castro, Ron Meir |
A Convergent Online Single Time Scale Actor Critic Algorithm. |
Journal of Machine Learning Research |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Omer Bobrowski, Ron Meir, Yonina C. Eldar |
Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration. |
Neural Computation |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Dotan Di Castro, Ron Meir, Irad Yavneh |
Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis. |
Neural Computation |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Dori Peleg, Ron Meir |
A sparsity driven kernel machine based on minimizing a generalization error bound. |
Pattern Recognition |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Dotan Di Castro, Ronny Meir |
A Convergent Online Single Time Scale Actor Critic Algorithm |
CoRR |
2009 |
DBLP BibTeX RDF |
|
| 1 | Dori Peleg, Ron Meir |
A bilinear formulation for vector sparsity optimization. |
Signal Processing |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Avner Wallach, Danny Eytan, Shimon Marom, Ron Meir |
Selective Adaptation in Networks of Heterogeneous Populations: Model, Simulation, and Experiment. |
PLoS Computational Biology |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Dotan Di Castro, Dmitry Volkinshtein, Ron Meir |
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation. |
NIPS |
2008 |
DBLP BibTeX RDF |
|
| 1 | Dorit Baras, Ron Meir |
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule. |
Neural Computation |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Igor Zingman, Ron Meir, Ran El-Yaniv |
Size-density spectra and their application to image classification. |
Pattern Recognition |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. Eldar |
A neural network implementing optimal state estimation based on dynamic spike train decoding. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | George Leifman, Ron Meir, Ayellet Tal |
Semantic-oriented 3d shape retrieval using relevance feedback. |
The Visual Computer |
2005 |
DBLP DOI BibTeX RDF |
3D retrieval, Search engine, Relevance feedback |
| 1 | Yaakov Engel, Shie Mannor, Ron Meir |
Reinforcement learning with Gaussian processes. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Peter Auer, Ron Meir (eds.) |
Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings |
COLT |
2005 |
DBLP BibTeX RDF |
|
| 1 | Yaakov Engel, Shie Mannor, Ron Meir |
The kernel recursive least-squares algorithm. |
IEEE Transactions on Signal Processing |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Philip Derbeko, Ran El-Yaniv, Ron Meir |
Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms. |
J. Artif. Intell. Res. (JAIR) |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Arik Azran, Ron Meir |
Data Dependent Risk Bounds for Hierarchical Mixture of Experts Classifiers. |
COLT |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Dori Peleg, Ron Meir |
A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error Bound. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Ron Meir, Tong Zhang |
Generalization Error Bounds for Bayesian Mixture Algorithms. |
Journal of Machine Learning Research |
2003 |
DBLP BibTeX RDF |
|
| 1 | Shie Mannor, Ron Meir, Tong Zhang |
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. |
Journal of Machine Learning Research |
2003 |
DBLP BibTeX RDF |
|
| 1 | Mordechai Nisenson, Ido Yariv, Ran El-Yaniv, Ron Meir |
Towards Behaviometric Security Systems: Learning to Identify a Typist. |
PKDD |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Yaakov Engel, Shie Mannor, Ron Meir |
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. |
ICML |
2003 |
DBLP BibTeX RDF |
|
| 1 | Ilya Desyatnikov, Ron Meir |
Data-Dependent Bounds for Multi-category Classification Based on Convex Losses. |
COLT |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Philip Derbeko, Ran El-Yaniv, Ron Meir |
Error Bounds for Transductive Learning via Compression and Clustering. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | Shie Mannor, Ron Meir |
On the Existence of Linear Weak Learners and Applications to Boosting. |
Machine Learning |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Yaakov Engel, Shie Mannor, Ron Meir |
Sparse Online Greedy Support Vector Regression. |
ECML |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Philip Derbeko, Ran El-Yaniv, Ron Meir |
Variance Optimized Bagging. |
ECML |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Shie Mannor, Ron Meir, Tong Zhang |
The Consistency of Greedy Algorithms for Classification. |
COLT |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Ron Meir, Gunnar Rätsch |
An Introduction to Boosting and Leveraging. |
Machine Learning Summer School |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Ron Meir, Tong Zhang |
Data-Dependent Bounds for Bayesian Mixture Methods. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | Amir Karniel, Ron Meir, Gideon F. Inbar |
Best estimated inverse versus inverse of the best estimator. |
Neural Networks |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Amir Karniel, Ron Meir, Gideon F. Inbar |
Polyhedral mixture of linear experts for many-to-one mapping inversion and multiple controllers. |
Neurocomputing |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Vitaly Maiorov, Ron Meir |
Lower bounds for multivariate approximation by affine-invariant dictionaries. |
IEEE Transactions on Information Theory |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Shie Mannor, Ron Meir |
Geometric Bounds for Generalization in Boosting. |
COLT/EuroCOLT |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Ron Meir, V. E. Maiorov |
On the optimality of neural-network approximation using incremental algorithms. |
IEEE Trans. Neural Netw. Learning Syst. |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Ron Meir |
Nonparametric Time Series Prediction Through Adaptive Model Selection. |
Machine Learning |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Vitaly Maiorov, Ron Meir |
On the near optimality of the stochastic approximation of smooth functions by neural networks. |
Adv. Comput. Math. |
2000 |
DBLP DOI BibTeX RDF |
neural networks, lower bounds, upper bounds, stochastic approximation |
| 1 | Ron Meir, Ran El-Yaniv, Shai Ben-David |
Localized Boosting. |
COLT |
2000 |
DBLP BibTeX RDF |
|
| 1 | Shie Mannor, Ron Meir |
Weak Learners and Improved Rates of Convergence in Boosting. |
NIPS |
2000 |
DBLP BibTeX RDF |
|
| 1 | Ron Meir, Vitaly Maiorov |
Distortion bounds for vector quantizers with finite codebook size. |
IEEE Transactions on Information Theory |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | V. E. Maiorov, R. S. Meir |
Approximation bounds for smooth functions in C(Rd) by neural and mixture networks. |
IEEE Transactions on Neural Networks |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Peter L. Bartlett, Vitaly Maiorov, Ron Meir |
Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks. |
Neural Computation |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Assaf J. Zeevi, Ron Meir, Vitaly Maiorov |
Error Bounds for Functional Approximation and Estimation Using Mixtures of Experts. |
IEEE Transactions on Information Theory |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Amir Karniel, Ron Meir, Gideon F. Inbar |
Polyhedral mixture of linear experts for many-to-one mapping inversion. |
ESANN |
1998 |
DBLP BibTeX RDF |
|
| 1 | Ron Meir, Vitaly Maiorov |
On the Optimality of Incremental Neural Network Algorithms. |
NIPS |
1998 |
DBLP BibTeX RDF |
|
| 1 | Peter L. Bartlett, Vitaly Maiorov, Ron Meir |
Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks. |
NIPS |
1998 |
DBLP BibTeX RDF |
|
| 1 | Ron Meir |
Performance Bounds for Nonlinear Time Series Prediction. |
COLT |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Ron Meir |
Structural Risk Minimization for Nonparametric Time Series Prediction. |
NIPS |
1997 |
DBLP BibTeX RDF |
|
| 1 | Assaf J. Zeevi, Ronny Meir |
Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds. |
Neural Networks |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Joel Ratsaby, Ron Meir, Vitaly Maiorov |
Towards Robust Model Selection Using Estimation and Approximation Error Bounds. |
COLT |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | Assaf J. Zeevi, Ron Meir, Robert J. Adler |
Time Series Prediction using Mixtures of Experts. |
NIPS |
1996 |
DBLP BibTeX RDF |
|
| 1 | Ronny Meir, Neri Merhav |
On the Stochastic Complexity of Learning Realizable and Unrealizable Rules. |
Machine Learning |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Ronny Meir |
Bias, Variance and the Combination of Least Squares Estimators. |
NIPS |
1994 |
DBLP BibTeX RDF |
|
| 1 | Ronny Meir, José F. Fontanari |
On Learning Noisy Threshold Functions with Finite Precision Weights. |
COLT |
1992 |
DBLP DOI BibTeX RDF |
|
| 1 | Joshua Alspector, Ronny Meir, Ben P. Yuhas, Anthony Jayakumar, D. Lippe |
A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks. |
NIPS |
1992 |
DBLP BibTeX RDF |
|
| 1 | Ronny Meir |
On Deriving Deterministic Learning Rules from Stochastic Systems. |
Int. J. Neural Syst. |
1991 |
DBLP DOI BibTeX RDF |
|
| 1 | Joshua Alspector, Robert B. Allen, Anthony Jayakumar, Torsten Zeppenfeld, Ronny Meir |
Relaxation Networks for Large Supervised Learning Problems. |
NIPS |
1990 |
DBLP BibTeX RDF |
|
| 1 | Tal Grossman, Ronny Meir, Eytan Domany |
Learning by Choice of Internal Representations. |
NIPS |
1988 |
DBLP BibTeX RDF |
|
![[Valid RSS]](Pics/valid-rss.png "Validate my RSS feed")