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IANDC
2007

Some natural conditions on incremental learning

9 years 2 months ago
Some natural conditions on incremental learning
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. Key words: Inductive inference, iterative learning, formal languages, recursion theory
Sanjay Jain, Steffen Lange, Sandra Zilles
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2007
Where IANDC
Authors Sanjay Jain, Steffen Lange, Sandra Zilles
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