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WSC
2007
15 years 8 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»
15 years 1 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
16 years 1 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 10 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 7 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...