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This paper surveys developments in probabilistic inductive inference (learning) of recursive (computable) functions. We mainly focus on finite learning, ...
Feb 15, 1999 · Gold (1967). This paper surveys developments in probabilistic inductive inference. We mainly focus on finite inference of recursive functions, ...
Inductive inference is a recursion-theoretic theory of learning, first developed by E. M. Gold (1967). This paper surveys developments in probabilistic ...
Understanding the process of learning has always fascinated scientists. There are several computational theories of learning. One of the oldest theories is ...
Understanding the process of learning has always fascinated scientists. There are several computational theories of learning. One of the oldest theories is ...
A probabilistic inductive inference machine can infer larger classes of functions if the inference criterion is relaxed to allow inference with probability at ...
This survey highlights and explains the main ideas that have been developed in the study of inductive inference, with special emphasis on the relations ...
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Jan 4, 1989 · The power of probabilistic inference strategies is characterized by equating the classes of probabilistically inferable functions with those ...
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Inductive inference is a recursion-theoretic theory of learning, first developed by E. M. Gold (1967). This paper surveys developments in probabilistic...
For example, there are beautiful surveys concerning the learnability of recursive functions via queries (cf. Gasarch and Smith [50] ), by teams of inductive ...