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» Learning from Multiple Sources of Inaccurate Data
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137
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MLMI
2007
Springer
15 years 9 months ago
Meeting State Recognition from Visual and Aural Labels
In this paper we present a meeting state recognizer based on a combination of multi-modal sensor data in a smart room. Our approach is based on the training of a statistical model ...
Jan Curín, Pascal Fleury, Jan Kleindienst, ...
141
Voted
RECOMB
2004
Springer
16 years 3 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
145
Voted
ICDE
2010
IEEE
208views Database» more  ICDE 2010»
15 years 3 months ago
Duplicate detection in probabilistic data
Abstract— Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic...
Fabian Panse, Maurice van Keulen, Ander de Keijzer...
135
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BIB
2002
136views more  BIB 2002»
15 years 3 months ago
Technologies for Integrating Biological Data
The process of building a new database relevant to some field of study in biomedicine involves transforming, integrating, and cleansing multiple data sources, as well as adding ne...
L. Wong
190
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ISEMANTICS
2010
15 years 2 months ago
An evaluation of approaches to federated query processing over linked data
The Web has evolved from a global information space of linked documents to a web of linked data. The Web of Data enables answering complex, structured queries that could not be an...
Peter Haase, Tobias Mathäß, Michael Zil...