Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39421
Title: On an open problem in classification of languages
Authors: Jain, S. 
Keywords: Classification
Inductive inference
Issue Date: 2001
Source: Jain, S. (2001). On an open problem in classification of languages. Journal of Experimental and Theoretical Artificial Intelligence 13 (2) : 113-118. ScholarBank@NUS Repository.
Abstract: Smith, Wichagen and Zeugmann (1997) showed an interesting connection between learning with bounded number of mind changes from informants and classification from informant. They showed that if an indexed family of languages ℒ is learnable via informants, using at most m mind changes, then one can partition 2 N, the class of all languages, into m + 2 subclasses ℒ 1,..., ℒ m+2 such that (1) ∪ i∈{1,2,...,m+1} ℒ i = ℒ, and (2) (ℒ 1,..., ℒ m+2) can be classified from informants. However Smith et al. (1997) left open whether a similar result also holds for learning from texts. We show that such a result does not hold for texts.
Source Title: Journal of Experimental and Theoretical Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/39421
ISSN: 0952813X
Appears in Collections:Staff Publications

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