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» Embedding Heterogeneous Data Using Statistical Models
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101
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BMCBI
2007
173views more  BMCBI 2007»
15 years 25 days ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
CSE
2009
IEEE
15 years 7 months ago
Prospector: Multiscale Energy Measurement of Networked Embedded Systems with Wideband Power Signals
Abstract—Today’s wirelessly networked embedded systems underlie a vast array of electronic devices, performing computation, communication, and input/output. A major design goal...
Kenji R. Yamamoto, Paul G. Flikkema
ISTA
2004
15 years 2 months ago
A Conceptual Modeling Technique Based on Semantically Complete Model, Its Applications
: The article proposes a conceptual modeling technique based on Semantically Complete model, the main property of which is that relations carry complete information about interconn...
Vladimir Ovchinnikov
IPSN
2009
Springer
15 years 7 months ago
Recovering temporal integrity with Data Driven Time Synchronization
Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. We apply the c...
Martin Lukac, Paul Davis, Robert Clayton, Deborah ...
61
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LREC
2010
150views Education» more  LREC 2010»
15 years 2 months ago
Achieving Domain Specificity in SMT without Overt Siloing
We examine pooling data as a method for improving Statistical Machine Translation (SMT) quality for narrowly defined domains, such as data for a particular company or public entit...
William D. Lewis, Chris Wendt, David Bullock