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» Information retrieval using hierarchical dirichlet processes
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ANNPR
2006
Springer
15 years 9 months ago
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...
IPM
2007
139views more  IPM 2007»
15 years 5 months ago
A semantic Bayesian network approach to retrieving information with intelligent conversational agents
As access to information becomes more intensive in society, a great deal of that information is becoming available through diverse channels. Accordingly, users require effective ...
Kyoung Min Kim, Jin-Hyuk Hong, Sung-Bae Cho
CIKM
2011
Springer
14 years 5 months ago
Towards noise-resilient document modeling
We introduce a generative probabilistic document model based on latent Dirichlet allocation (LDA), to deal with textual errors in the document collection. Our model is inspired by...
Tao Yang, Dongwon Lee
TAL
2010
Springer
15 years 4 months ago
Concept Based Representations for Ranking in Geographic Information Retrieval
Abstract. Geographic Information Retrieval (GIR) is a specialized Information Retrieval (IR) branch that deals with information related to geographical locations. Traditional IR en...
Maya Carrillo, Esaú Villatoro-Tello, Aureli...
ICDIM
2007
IEEE
16 years 3 days ago
Exploiting multi-evidence from multiple user's interests to personalizing information retrieval
The goal of personalization in information retrieval is to tailor the search engine results to the specific goals, preferences and general interests of the users. We propose a no...
Lynda Tamine-Lechani, Mohand Boughanem, Nesrine Ze...