928 search results - page 18 / 186 » The Convergence Rate of AdaBoost |
NIPS
2001
13 years 11 months ago
2001
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...
CAGD
2007
13 years 9 months ago
2007
All normalized totally positive bases satisfy the progressive iterative approximation property. The normalized B-basis has optimal shape preserving properties and we prove that it...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
We study randomized variants of two classical algorithms: coordinate descent for systems of linear equations and iterated projections for systems of linear inequalities. Expanding...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
SIAMNUM
2010
13 years 4 months ago
2010
The purpose of this study is to construct a high-order interpolation scheme for arbitrary scattered datasets. The resulting function approximation is an interpolation function when...