Le vendredi 1 février 2008, David Doshay a écrit :
> This is the direction in which we are moving with SlugGo. We also
> expect it to be difficult to integrate different approaches, but this
> has always been our research direction: when there are multiple
> codes which will each give an evaluation of a situation, how does
> one design an arbitrator that makes the final decision?
> 
There is a phD student in my lab working on such a topic in speech
recognition (use several different statistical estimators and combine
the informations to get the "best one" or the "best tree").
This give some nice improvements:
more or less 5 engines with 25 % error, give a system which does 20% error,
and this is a huge improvement.

I'll post some references, i guess the tools and methods are more or less
well known.

Alain



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