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» Learning dynamic algorithm portfolios
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AMAI
2006
Springer
13 years 4 months ago
Learning dynamic algorithm portfolios
Matteo Gagliolo, Jürgen Schmidhuber
JCP
2007
143views more  JCP 2007»
13 years 4 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
ICASSP
2011
IEEE
12 years 8 months ago
Factor graph switching portfolios under transaction costs
We consider the sequential portfolio investment problem. Building on results in signal processing, machine learning, and other areas, we use factor graphs to develop new universal...
Andrew J. Bean, Andrew C. Singer
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
13 years 8 months ago
Behavioural GP diversity for dynamic environments: an application in hedge fund investment
We present a new mechanism for preserving phenotypic behavioural diversity in a Genetic Programming application for hedge fund portfolio optimization, and provide experimental res...
Wei Yan, Christopher D. Clack
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
13 years 9 months ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba