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» Accelerating Large Data Analysis by Exploiting Regularities
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ICDT
2010
ACM
219views Database» more  ICDT 2010»
15 years 9 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
15 years 1 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
15 years 1 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»
14 years 11 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
14 years 6 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