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A comparison of identification criteria for inductive inference of recursive real-valued functions

机译:递归实值函数的归纳推断识别标准的比较

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In this paper we investigate the inductive inference of recursive real-valued functions from data. A recursive real-valued function is regarded as a computable interval mapping. The teaming model we consider in this paper is an extension of Gold's inductive inference. We first introduce some criteria for successful inductive inference of recursive real-valued functions. Then we show a recursively enumerable class of recursive real-valued functions which is not inferable in the limit. This should be an interesting contrast to the result by Wiehagen (1976, Elektronische Informations verarbeitung und Kybernetik, Vol. 12, pp. 93-99) that every recursively enumerable subset of recursive functions from N to N is consistently inferable in the limit. We also show that every recursively enumerable class of recursive real-valued functions on a fixed rational interval is consistently inferable in the limit. Furthermore, we show that our consistent inductive inference coincides with the ordinary inductive inference, when we deal with recursive real-valued functions on a fixed closed rational interval. (C) 2001 Elsevier Science B.V. All rights reserved. [References: 17]
机译:在本文中,我们研究了基于数据的递归实值函数的归纳推理。递归实值函数被视为可计算间隔映射。我们在本文中考虑的分组模型是Gold归纳推理的扩展。我们首先介绍成功递归实值函数的归纳推断的一些标准。然后,我们展示了一个递归可枚举的递归实值函数类,该类在限制上是不可推断的。这应该与Wiehagen(1976,Elektronische Informations verarbeitung und Kybernetik,Vol。12,pp。93-99)得出的结果形成有趣的对比,即从N到N的每个递归可枚举的递归函数子集在极限中始终是可推断的。我们还表明,在固定有理区间上的每个递归可枚举类的递归实值函数在极限中始终是可推断的。此外,当我们在固定的闭合有理区间上处理递归实值函数时,我们证明了我们的一致归纳推理与普通归纳推理一致。 (C)2001 Elsevier Science B.V.保留所有权利。 [参考:17]

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