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ICML
2007
IEEE
14 years 8 months ago
CarpeDiem: an algorithm for the fast evaluation of SSL classifiers
In this paper we present a novel algorithm, CarpeDiem. It significantly improves on the time complexity of Viterbi algorithm, preserving the optimality of the result. This fact ha...
Roberto Esposito, Daniele P. Radicioni
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
14 years 1 months ago
Optimization of the trading rule in foreign exchange using genetic algorithm
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
Akinori Hirabayashi, Claus de Castro Aranha, Hitos...
IAT
2003
IEEE
14 years 20 days ago
Integrating Reinforcement Learning, Bidding and Genetic Algorithms
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
Dehu Qi, Ron Sun
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
14 years 1 months ago
GAINS: genetic algorithms for increasing net sales of a mobile reverse demand communication system
In this paper, I describe MRDCOM, a mobile reverse-demand communication system for the pizza industry. The web-based system will support student (buyer) sign-up and will be capabl...
Michael Henry Wolk
CEC
2005
IEEE
13 years 9 months ago
On the use of rule-sharing in learning classifier system ensembles
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...
Larry Bull, Matthew Studley, Anthony J. Bagnall, I...