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GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 5 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 6 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
16 years 17 days 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 6 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 11 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