Computable multiclass PAC learnability for finite label spaces is characterized exactly by the finiteness of computable distinguisher dimensions, including a new computable Natarajan dimension.
Characterizations of learnability for classes of \ O,…, n \ -valued functions
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On the Computability of Multiclass PAC Learning
Computable multiclass PAC learnability for finite label spaces is characterized exactly by the finiteness of computable distinguisher dimensions, including a new computable Natarajan dimension.