Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ic.2007.06.002
Title: Some natural conditions on incremental learning
Authors: Jain, S. 
Lange, S.
Zilles, S.
Keywords: Formal languages
Inductive inference
Iterative learning
Recursion theory
Issue Date: 2007
Source: Jain, S.,Lange, S.,Zilles, S. (2007). Some natural conditions on incremental learning. Information and Computation 205 (11) : 1671-1684. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ic.2007.06.002
Abstract: The present study aims at insights into the nature of incremental learning in the context of Gold's model of identification in the limit. With a focus on natural requirements such as consistency and conservativeness, incremental learning is analysed both for learning from positive examples and for learning from positive and negative examples. The results obtained illustrate in which way different consistency and conservativeness demands can affect the capabilities of incremental learners. These results may serve as a first step towards characterising the structure of typical classes learnable incrementally and thus towards elaborating uniform incremental learning methods. © 2007 Elsevier Inc. All rights reserved.
Source Title: Information and Computation
URI: http://scholarbank.nus.edu.sg/handle/10635/39260
ISSN: 08905401
DOI: 10.1016/j.ic.2007.06.002
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

3
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

4
checked on Nov 3, 2017

Page view(s)

30
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.