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WSC
2007
15 years 6 months ago
How to synthesize nets from languages: a survey
In this paper we present a survey on methods for the synthesis of Petri nets from behavioral descriptions given as languages. We consider place/transition Petri nets, elementary P...
Robert Lorenz, Sebastian Mauser, Gabriel Juh&aacut...
JMLR
2010
134views more  JMLR 2010»
14 years 10 months ago
Using Contextual Representations to Efficiently Learn Context-Free Languages
We present a polynomial update time algorithm for the inductive inference of a large class of context-free languages using the paradigm of positive data and a membership oracle. W...
Alexander Clark, Rémi Eyraud, Amaury Habrar...
LATA
2010
Springer
15 years 10 months ago
Three Learnable Models for the Description of Language
Abstract. Learnability is a vital property of formal grammars: representation classes should be defined in such a way that they are learnable. One way to build learnable represent...
Alexander Clark
EELC
2006
128views Languages» more  EELC 2006»
15 years 7 months ago
Evolving Distributed Representations for Language with Self-Organizing Maps
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Simon D. Levy, Simon Kirby
NIPS
2004
15 years 5 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...