On Duality in Learning and the Selection of Learning Terms
نویسندگان
چکیده
Previous work in inductive inference dealt mostly with finding one or several machines (IIMs) that successfully learn collections of functions. Herein we start with a class of functions and consider the learner set of all IIMs that are successful at learning the given class. Applying this perspective to the case of team inference leads to the notion of diversification for a class of functions. This enable us to distinguish between several flavours of IIMs all of which must be represented in a team learning the given class. ] 1996 Academic Press, Inc.
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عنوان ژورنال:
- Inf. Comput.
دوره 129 شماره
صفحات -
تاریخ انتشار 1996