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168
Voted
ECAI
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
169
Voted
ECML
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
209
Voted
EKAW
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...
246
Voted
FSTTCS
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
204
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GCC
2006
Springer
15 years 11 months ago
2006
Springer
Increasingly scientists are using collections of software tools in their research. These tools are typically used in concert, often necessitating laborious and error prone manual ...