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OverviewFull Product DetailsAuthor: Vasant Honavar , Giora SlutzkiPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 1998 ed. Volume: 1433 Dimensions: Width: 15.50cm , Height: 1.50cm , Length: 23.50cm Weight: 0.900kg ISBN: 9783540647768ISBN 10: 3540647767 Pages: 277 Publication Date: 01 July 1998 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsResults of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm.- Learning k-variable pattern languages efficiently stochastically finite on average from positive data.- Meaning helps learning syntax.- A polynomial time incremental algorithm for learning DFA.- The data driven approach applied to the OSTIA algorithm.- Grammar model and grammar induction in the system NL PAGE.- Approximate learning of random subsequential transducers.- Learning stochastic finite automata from experts.- Learning a deterministic finite automaton with a recurrent neural network.- Applying grammatical inference in learning a language model for oral dialogue.- Real language learning.- A stochastic search approach to grammar induction.- Transducer-learning experiments on language understanding.- Locally threshold testable languages in strict sense: Application to the inference problem.- Learning a subclass of linear languages from positive structural information.- Grammatical inference in document recognition.- Stochastic inference of regular tree languages.- How considering incompatible state mergings may reduce the DFA induction search tree.- Learning regular grammars to model musical style: Comparing different coding schemes.- Learning a subclass of context-free languages.- Using symbol clustering to improve probabilistic automaton inference.- A performance evaluation of automatic survey classifiers.- Pattern discovery in biosequences.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |