654 search results - page 38 / 131 » TRUST-TECH based Methods for Optimization and Learning |
101
Voted
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
This paper offers a novel approach to coevolution based on the sociological theory of symbolic interactionism. It provides a multi-agent computational model along with experimenta...
90
Voted
GECCO
2009
Springer
15 years 7 months ago
2009
Springer
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...
108
Voted
EUROCAST
2007
Springer
15 years 6 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
112
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
112
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CSL
2010
Springer
14 years 11 months ago
2010
Springer
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...