- The Kernel Recursive Least Squares Algorithm Yaakov Engel
- LETTER Communicated by Daniele Marinazzo Delays and Oscillations in Networks of Spiking Neurons
- Journal of Artificial Intelligence Research 22 (2004) 117-142 Submitted 07/03; published 10/04 Explicit Learning Curves for Transduction and Application
- Sparse Online Greedy Support Vector Yaakov Engel1
- LETTER Communicated by Jochen Triesch Reinforcement Learning, Spike-Time-Dependent Plasticity,
- The 17th Annual Conference on Learning Theory, COLT 2004 Data Dependent Risk Bounds for Hierarchical
- Empirical Risk Minimization Versus MaximumLikelihood Estimation: a Case Study
- *Corresponding author. E-mail address: karniel@nwu.edu (A. Karniel).
- A neural network implementing optimal state estimation based on dynamic spike train decoding
- A Sparsity Driven Kernel Machine Based on Minimizing a Generalization Error Bound
- 97:3736-3750, 2007. First published Mar 14, 2007; doi:10.1152/jn.01064.2006J Neurophysiol Ehud Trainin, Ron Meir and Amir Karniel
- Reinforcement learning with Gaussian processes Yaakov Engel yaki@cs.ualberta.ca
- A feature selection algorithm based on the global minimization of a generalization error bound
- Bayes meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
- Journal of Machine Learning Research 4 (2003) 839-860 Submitted 4/03; Published 10/03 Generalization Error Bounds for Bayesian Mixture Algorithms
- Variance Optimized Bagging Philip Derbeko1
- Machine Learning, 39, 534, 2000. c 2000 Kluwer Academic Publishers. Printed in The Netherlands.
- Journal of Approximation Theory 99, 95 111 (1999) On the Approximation of Functional Classes Equipped
- LETTER Communicated by Dana Ron Almost Linear VC-Dimension Bounds for Piecewise
- Journal of Machine Learning Research 4 (2003) 713-742 Submitted 11/02; Published 10/03 Greedy Algorithms for Classification Consistency,
- Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration
- California at Santa Barbara from 1991 to 1992, and an assistant professor at University of Virginia from 1992 to 1998, where he is now
- Localized Boosting Department of Electrical Engineering
- Density Estimation Through Convex Combinations of Densities; Approximation and
- Temporal Difference Based Actor Critic Learning -Convergence and Neural Implementation
- Biol Cybern DOI 10.1007/s00422-011-0450-x
