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NIPS
2008
15 years 8 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
AIM
2006
15 years 8 months ago
Analysing dependencies between documentary fragments for the management of mediated communities of action
: This paper focuses on situations where documents serve to coordinate a distributed Community of Action engaged in a common goal-directed activity. In such contexts, a document ap...
Nicolas Prat, Manuel Zacklad
HPDC
2010
IEEE
15 years 8 months ago
ParaText: scalable text modeling and analysis
Automated analysis of unstructured text documents (e.g., web pages, newswire articles, research publications, business reports) is a key capability for solving important problems ...
Daniel M. Dunlavy, Timothy M. Shead, Eric T. Stant...
DKE
2007
199views more  DKE 2007»
15 years 6 months ago
QMatch - Using paths to match XML schemas
Integration of multiple heterogeneous data sources continues to be a critical problem for many application domains and a challenge for researchers world-wide. With the increasing ...
Naiyana Tansalarak, Kajal T. Claypool
SIGIR
1998
ACM
15 years 6 months ago
Exploring the Similarity Space
Ranked queries are used to locate relevant documents in text databases. In a ranked query a list of terms is specified, then the documents that most closely match the query are re...
Justin Zobel, Alistair Moffat