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» Document Retrieval using a Probabilistic Knowledge Model
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FCSC
2010
238views more  FCSC 2010»
13 years 4 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
ER
1999
Springer
152views Database» more  ER 1999»
13 years 11 months ago
Semantically Accessing Documents Using Conceptual Model Descriptions
. When publishing documents on the web, the user needs to describe and classify her documents for the benefit of later retrieval and use. This paper presents an approach to semanti...
Terje Brasethvik, Jon Atle Gulla
IPM
2008
102views more  IPM 2008»
13 years 6 months ago
Fast exact maximum likelihood estimation for mixture of language model
Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language mo...
Yi Zhang 0001, Wei Xu
ICTIR
2009
Springer
13 years 4 months ago
Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models
Abstract. A mismatch between differenteventspaceshasbeen used toargue against rank equivalence of classic probabilistic models of information retrieval and language models. We ques...
Corrado Boscarino, Arjen P. de Vries
DOCENG
2007
ACM
13 years 10 months ago
A document object modeling method to retrieve data from a very large XML document
Document Object Modeling (DOM) is widely used approach for retrieving data from an XML document. If the size of the XML document is very large, however, using the DOM approach for...
Seung Min Kim, Suk I. Yoo, Eunji Hong, Tae Gwon Ki...