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ICML
2007
IEEE
14 years 8 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
WEBDB
2004
Springer
202views Database» more  WEBDB 2004»
14 years 1 months ago
Mining Approximate Functional Dependencies and Concept Similarities to Answer Imprecise Queries
Current approaches for answering queries with imprecise constraints require users to provide distance metrics and importance measures for attributes of interest. In this paper we ...
Ullas Nambiar, Subbarao Kambhampati
TIP
2008
139views more  TIP 2008»
13 years 7 months ago
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation
In this paper, we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. Within the h...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICTAI
2002
IEEE
14 years 17 days ago
Function Approximation Using Robust Wavelet Neural Networks
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
Sheng-Tun Li, Shu-Ching Chen
COMPUTING
2004
88views more  COMPUTING 2004»
13 years 7 months ago
Spline Curve Approximation and Design by Optimal Control Over the Knots
In [1] Optimal Control methods over re-parametrization for curve and surface design were introduced. The advantage of Optimal Control over Global Minimization such as in [17] is t...
Rony Goldenthal, Michel Bercovier