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» Problems of learning in multi-agent systems
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KI
2007
Springer
15 years 4 months ago
Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture
Various forms of reasoning, the profusion of knowledge, the gap between neuro-inspired approaches and conceptual representations, the problem of inconsistent data input, and the ma...
Kai-Uwe Kühnberger, Tonio Wandmacher, Angela ...
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
15 years 11 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...
126
Voted
ICASSP
2007
IEEE
15 years 11 months ago
Genomic Network Tomography
This paper considers the problem of learning cellular signaling networks from incomplete measurements of pathway activity. Cells respond to environmental changes (e.g., starvation...
Michael G. Rabbat, Mário A. T. Figueiredo, ...
DEXAW
2007
IEEE
133views Database» more  DEXAW 2007»
15 years 8 months ago
Generating a Topic Hierarchy from Dialect Texts
We built a system for the automatic creation of a textbased topic hierarchy, meant to be used in a geographically defined community. This poses two main problems. First, the appea...
Wim De Smet, Marie-Francine Moens
163
Voted
AIMSA
2008
Springer
15 years 6 months ago
A Hybrid Approach to Distributed Constraint Satisfaction
We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we pr...
David Lee, Inés Arana, Hatem Ahriz, Kit-Yin...