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» Inferring Knowledge from a Large Semantic Network
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159
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JMLR
2010
143views more  JMLR 2010»
14 years 11 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
WWW
2008
ACM
16 years 4 months ago
Extracting XML schema from multiple implicit xml documents based on inductive reasoning
We propose a method of classifying XML documents and extracting XML schema from XML by inductive inference based on constraint logic programming. The goal of this work is to type ...
Masaya Eki, Tadachika Ozono, Toramatsu Shintani
BMCBI
2010
172views more  BMCBI 2010»
14 years 11 months ago
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
Anil Aswani, Soile V. E. Keränen, James Brown...
EMNLP
2009
15 years 1 months ago
Statistical Estimation of Word Acquisition with Application to Readability Prediction
Models of language learning play a central role in a wide range of applications: from psycholinguistic theories of how people acquire new word knowledge, to information systems th...
Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson
140
Voted
ACIIDS
2009
IEEE
122views Database» more  ACIIDS 2009»
15 years 9 months ago
Student Modelling Based on Ontologies
— In this paper I show how ontologies support the student modelling through the semantic definition of concepts that depict a student. The aim is to outline the framework for bui...
Alejandro Peña Ayala