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» Incomplete Statistical Information Fusion and Its Applicatio...
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SUM
2007
Springer
13 years 10 months ago
Incomplete Statistical Information Fusion and Its Application to Clinical Trials Data
In medical clinical trials, overall trial results are highlighted in the s of papers/reports. These results are summaries of underlying statistical analysis where most of the time ...
Jianbing Ma, Weiru Liu, Anthony Hunter
JUCS
2006
107views more  JUCS 2006»
13 years 4 months ago
Sequential Data Assimilation: Information Fusion of a Numerical Simulation and Large Scale Observation Data
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose
BMCBI
2010
182views more  BMCBI 2010»
13 years 4 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
LOCA
2007
Springer
13 years 10 months ago
Inferring Position Knowledge from Location Predicates
Many context- and location-aware applications request high accuracy and availability of positioning systems. In reality however, knowledge about the current position may be incompl...
Jörg Roth
GI
2009
Springer
13 years 2 months ago
Low Frequency Towed Active Sonar (LFTAS) in Multistatic Applications
: The performance potential of multistatic sonar operations has been investigated by several research institutes and proven in numerous international sea trials during the last yea...
Stephan Benen