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TKDE
2010
224views more  TKDE 2010»
14 years 7 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
AINA
2009
IEEE
15 years 4 months ago
Quantifying Artifacts of Virtualization: A Framework for Mirco-Benchmarks
One of the novel benefits of virtualization is the ability to emulate many hosts with a single physical machine. This approach is often used to support at-scale testing for large...
Chris Matthews, Yvonne Coady, Stephen Neville
CONTEXT
2007
Springer
15 years 3 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
ROBOCUP
1999
Springer
115views Robotics» more  ROBOCUP 1999»
15 years 1 months ago
UBU Team
The underlying research topics and the architecture of the UBU team are briefly described. The aim of developing UBU is to subject a series of tools and procedures for agent decis...
Johan Kummeneje, David Lybäck, Håkan L....
113
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BMCBI
2006
161views more  BMCBI 2006»
14 years 9 months ago
A method for rapid similarity analysis of RNA secondary structures
Background: Owing to the rapid expansion of RNA structure databases in recent years, efficient methods for structure comparison are in demand for function prediction and evolution...
Na Liu, Tianming Wang