On 6/16/2011 7:38 AM, Bruno Marchal wrote:
Concerning the learning competence of a machine, I measure it by the classes of computable functions that the machine is able to identify from finite samples of input-outputs. This leads to the "computational learning theory" or "inductive inference" theory, which shows that the possible competences form a complex lattice with a lot of incomparable competences, and with a lot of necessarily non constructive gaps existing among them.

Do you have some reference where this is explained?


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