Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ic.2007.04.001
DC FieldValue
dc.titleResults on memory-limited U-shaped learning
dc.contributor.authorCarlucci, L.
dc.contributor.authorCase, J.
dc.contributor.authorJain, S.
dc.contributor.authorStephan, F.
dc.date.accessioned2013-07-23T09:23:21Z
dc.date.available2013-07-23T09:23:21Z
dc.date.issued2007
dc.identifier.citationCarlucci, L., Case, J., Jain, S., Stephan, F. (2007). Results on memory-limited U-shaped learning. Information and Computation 205 (10) : 1551-1573. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ic.2007.04.001
dc.identifier.issn08905401
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43041
dc.description.abstractU-shaped learning is a learning behaviour in which the learner first learns a given target behaviour, then unlearns it and finally relearns it. Such a behaviour, observed by psychologists, for example, in the learning of past-tenses of English verbs, has been widely discussed among psychologists and cognitive scientists as a fundamental example of the non-monotonicity of learning. Previous theory literature has studied whether or not U-shaped learning, in the context of Gold's formal model of learning languages from positive data, is necessary for learning some tasks. It is clear that human learning involves memory limitations. In the present paper we consider, then, the question of the necessity of U-shaped learning for some learning models featuring memory limitations. Our results show that the question of the necessity of U-shaped learning in this memory-limited setting depends on delicate tradeoffs between the learner's ability to remember its own previous conjecture, to store some values in its long term memory, to make queries about whether or not items occur in previously seen data and on the learner's choice of hypotheses space. © 2007 Elsevier Inc. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ic.2007.04.001
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentMATHEMATICS
dc.description.doi10.1016/j.ic.2007.04.001
dc.description.sourcetitleInformation and Computation
dc.description.volume205
dc.description.issue10
dc.description.page1551-1573
dc.description.codenINFCE
dc.identifier.isiut000250096800003
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