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ECAI
2004
Springer
15 years 5 months ago
Instance-Based Prediction with Guaranteed Confidence
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Eyke Hüllermeier
119
Voted
FM
2008
Springer
184views Formal Methods» more  FM 2008»
15 years 3 months ago
Safe and Reliable Metro Platform Screen Doors Control/Command Systems
In this article we would like to present some recent applications of the B formal method to the development of safety critical system. These SIL3/SIL41 compliant systems have their...
Thierry Lecomte
128
Voted
ICML
1996
IEEE
15 years 6 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
107
Voted
MOC
1998
82views more  MOC 1998»
15 years 1 months ago
Vortex method for two dimensional Euler equations in bounded domains with boundary correction
The vortex method for the initial-boundary value problems of the Euler equations for incompressible flow is studied. A boundary correction technique is introduced to generate seco...
Lung-an Ying
ENTCS
2008
79views more  ENTCS 2008»
15 years 1 months ago
Experimenting Formal Proofs of Petri Nets Refinements
Petri nets are a formalism for modelling and validating critical systems. Generally, the approach to specification starts from an abstract view of the system under study. Once val...
Christine Choppy, Micaela Mayero, Laure Petrucci