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IJAR
2011
86views more  IJAR 2011»
13 years 2 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel
BMCBI
2004
323views more  BMCBI 2004»
13 years 11 months ago
Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
David Adalsteinsson, David McMillen, Timothy C. El...
SIGSOFT
2010
ACM
13 years 9 months ago
Minding the (semantic) gap: engineering programming language theory
Like programs, programming languages are not only mathematical objects but also software engineering artifacts. Describing the semantics of real-world languages can help bring lan...
Arjun Guha, Shriram Krishnamurthi
AAAI
2006
14 years 17 days ago
Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features
We study the performance of two representations of word meaning in learning noun-modifier semantic relations. One representation is based on lexical resources, in particular WordN...
Vivi Nastase, Jelber Sayyad-Shirabad, Marina Sokol...
LREC
2008
175views Education» more  LREC 2008»
14 years 18 days ago
Arabic WordNet: Semi-automatic Extensions using Bayesian Inference
This presentation focuses on the semi-automatic extension of Arabic WordNet (AWN) using lexical and morphological rules and applying Bayesian inference. We briefly report on the c...
Horacio Rodríguez, David Farwell, Javi Ferr...