A note on bounded query learning

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.contributor.author	Castro Rabal, Jorge
dc.date	2005-04
dc.identifier.citation	Castro, J. "A note on bounded query learning". 2005.
dc.identifier.uri	http://hdl.handle.net/2117/84196
dc.language.iso	eng
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject	Learning
dc.subject	Bounded model
dc.title	A note on bounded query learning
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/report
dc.description.abstract	We study in this note the relationships between two usual models of learning via queries: the so-called exact and bounded learning models. One of our goals is to point out under which conditions the learning dimension functions, as the abstract identification dimension, originally defined assuming the bounded model can be also used in the exact setting and how the results obtained by using them have to be interpreted.