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» Representing Data Quality for Streaming and Static Data
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CSDA
2008
110views more  CSDA 2008»
13 years 6 months ago
Bootstrap confidence intervals for principal response curves
The principal response curve (PRC) model is of use to analyse multivariate data resulting from experiments involving repeated sampling in time. The time-dependent treatment effect...
Marieke E. Timmerman, Cajo J. F. ter Braak
ATS
2010
IEEE
229views Hardware» more  ATS 2010»
13 years 4 months ago
Variation-Aware Fault Modeling
Abstract--To achieve a high product quality for nano-scale systems both realistic defect mechanisms and process variations must be taken into account. While existing approaches for...
Fabian Hopsch, Bernd Becker, Sybille Hellebrand, I...
COLING
2010
13 years 1 months ago
Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
Automated identification of diverse sentiment types can be beneficial for many NLP systems such as review summarization and public media analysis. In some of these systems there i...
Dmitry Davidov, Oren Tsur, Ari Rappoport
BROADNETS
2005
IEEE
14 years 12 days ago
Bandwidth guaranteed multicast scheduling for virtual output queued packet switches
Multicast enables efficient data transmission from one source to multiple destinations, and has been playing an important role in Internet multimedia applications. Although sever...
Deng Pan, Yuanyuan Yang
ISCC
2003
IEEE
153views Communications» more  ISCC 2003»
14 years 1 days ago
Fuzzy Explicit Marking for Congestion Control in Differentiated Services Networks
This paper presents a new active queue management scheme, Fuzzy Explicit Marking (FEM), implemented within the differentiated services (Diff-Serv) framework to provide congestion ...
Chrysostomos Chrysostomou, Andreas Pitsillides, Ge...