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Detecting sequential structure

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dc.contributor.author Nevill-Manning, Craig G.
dc.contributor.author Witten, Ian H.
dc.date.accessioned 2010-10-13T01:48:41Z
dc.date.available 2010-10-13T01:48:41Z
dc.date.issued 1995
dc.identifier.citation Nevill-Manning, C.G. & Witten, I.H. (1995). Detecting sequential structure. In Proceedings of Workshop on Programming by Demonstration, Twelfth International Conference on Machine Learning, Lake Tahoe, USA, July 9th 1995 (pp. 49-56). en_NZ
dc.identifier.uri http://hdl.handle.net/10289/4691
dc.description.abstract Programming by demonstration requires detection and analysis of sequential patterns in a user’s input, and the synthesis of an appropriate structural model that can be used for prediction. This paper describes SEQUITUR, a scheme for inducing a structural description of a sequence from a single example. SEQUITUR integrates several different inference techniques: identification of lexical subsequences or vocabulary elements, hierarchical structuring of such subsequences, identification of elements that have equivalent usage patterns, inference of programming constructs such as looping and branching, generalisation by unifying grammar rules, and the detection of procedural substructure., Although SEQUITUR operates with abstract sequences, a number of concrete illustrations are provided. en_NZ
dc.format.mimetype application/pdf
dc.language.iso en
dc.relation.uri http://www.machinelearning.org/ en_NZ
dc.rights This article has been published in Proceedings of Workshop on Programming by Demonstration, Twelfth International Conference on Machine Learning, Lake Tahoe, USA, July 9th 1995. © 1995 the authors. en_NZ
dc.subject PBD en_NZ
dc.subject sequence learning en_NZ
dc.subject grammatical inference en_NZ
dc.title Detecting sequential structure en_NZ
dc.type Conference Contribution en_NZ


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