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GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 3 months ago
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
Abstract. We demonstrate a fully automated method for obtaining a closedform approximation of a recursive function. This method resulted from a realworld problem in which we had a ...
Evan Kirshenbaum, Henri Jacques Suermondt
ICCBR
2009
Springer
15 years 4 months ago
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning
This paper presents a new approach for spatial event prediction that combines a value function approximation algorithm and case-based reasoning predictors. Each of these predictors...
Hua Li, Héctor Muñoz-Avila, Diane Br...
ICML
2001
IEEE
15 years 10 months ago
Off-Policy Temporal Difference Learning with Function Approximation
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
Doina Precup, Richard S. Sutton, Sanjoy Dasgupta
ICPR
2010
IEEE
15 years 4 months ago
Fast and Accurate Approximation of the Euclidean Opening Function in Arbitrary Dimension
In this paper, we present a fast and accurate approximation of the Euclidean opening function which is a wide-used tool in morphological mathematics to analyze binary shapes since...
David Coeurjolly
OL
2008
82views more  OL 2008»
14 years 9 months ago
An approximation algorithm for network design problems with downwards-monotone demand functions
Building on an existing 2-approximate algorithm for the class of network design problems with downwards-monotone demand functions, many of which are NP-hard, we present an algorith...
Michael Laszlo, Sumitra Mukherjee