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» Accelerating Large Data Analysis by Exploiting Regularities
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ICDT
2010
ACM
219views Database» more  ICDT 2010»
14 years 4 months ago
Aggregate Queries for Discrete and Continuous Probabilistic XML
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
Serge Abiteboul, T.-H Hubert Chan, Evgeny Kharlamo...
LWA
2007
13 years 8 months ago
Position Paper: Ontology Learning from Folksonomies
The emergence of collaborative tagging systems with their underlying flat and uncontrolled resource organization paradigm has led to a large number of research activities focussi...
Dominik Benz, Andreas Hotho
RIVF
2007
13 years 8 months ago
On the Role and Application of Ontologies in Information Systems
— Semantic Web research and recent efforts of large software companies have lead to mature technologies that can enable real-life semantic applications. While benefits such as a...
Thanh Tran, Holger Lewen, Peter Haase
CSDA
2007
134views more  CSDA 2007»
13 years 6 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
COLING
2010
13 years 1 months ago
Disambiguating Dynamic Sentiment Ambiguous Adjectives
Dynamic sentiment ambiguous adjectives (DSAAs) like "large, small, high, low"pose a challenging task on sentiment analysis. This paper proposes a knowledge-based method ...
Yunfang Wu, Miaomiao Wen