Searching for authors named "Ron Meir" – sorted by Relevance.
43 documents found, showing 1 through 10.
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Empirical Risk Minimization Versus Maximum-Likelihood Estimation: a Case Study
- …Empirical Risk Minimization Versus Maximum-Likelihood Estimation: a Case Study Ron Meir…
- Cited by 2 (0 self) – Add To MetaCart
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Approximation Bounds for Smooth Functions in C(R^d) by Neural and Mixture Networks
- … Maiorov Department of Mathematics Technion, Haifa 32000 Israel Ron Meir y Department of Electrical…
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Data Dependent Risk Bounds for Hierarchical Mixture of Experts Classifiers
- … for Hierarchical Mixture of Experts Classifiers Arik Azran and Ron Meir Department of Electrical Engineering…
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Data-Dependent Bounds for Multi-Category Classification Based on Convex Losses
- … for Multi-Category Classification Based on Convex Losses Ilya Desyatnikov 1 and Ron Meir 1 Department…
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Weak Learners and Improved Rates of Convergence in Boosting
- …Weak Learners and Improved Rates of Convergence in Boosting Shie Mannor and Ron Meir Department…
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Geometric Bounds for Generalization in Boosting
- …. consider geometric conditions on a labeled which guarantee boosting algorithms work well when linear classifiers used weak learners. start providing conditions on error weak learner which guarantee that empirical of com- posite classifier is small. then focus conditions required order insure that …
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Data-Dependent Bounds for Bayesian Mixture Methods
- …Data-Dependent Bounds for Bayesian Mixture Methods Ron Meir Department of Electrical Engineering…
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Reinforcement Learning, Spike Time Dependent Plasticity and the BCM Rule
- …Reinforcement Learning, Spike Time Dependent Plasticity and the BCM Rule Dorit Baras and Ron Meir…
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An introduction to boosting and leveraging
- …An Introduction to Boosting and Leveraging Ron Meir 1 and Gunnar Rätsch 2 1 Department…
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Nonparametric time series prediction through adaptive model selection
- …. Nonparametric Time Series Prediction Through Adaptive Model Selection ∗ RON MEIR † rmeir…
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