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» A new evolutionary method for time series forecasting
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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 1 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
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
WSC
2004
13 years 9 months ago
Permuted Weighted Area Estimators
Calvin and Nakayama previously introduced permuting as a way of improving existing standardized time series methods. The basic idea is to split a simulated sample path into nonove...
James M. Calvin, Marvin K. Nakayama
ANOR
2005
128views more  ANOR 2005»
13 years 7 months ago
Expectation-Stock Dynamics in Multi-Agent Fisheries
In this paper we consider a game-theoretic dynamic model describing the exploitation of a renewable resource. Our model is based on a Cournot oligopoly game where n profit-maximizi...
Gian Italo Bischi, Michael Kopel, Ferenc Szidarovs...