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» Reformulating Constraint Models Using Input Data
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DASFAA
2010
IEEE
179views Database» more  DASFAA 2010»
15 years 9 months ago
Scalable Splitting of Massive Data Streams
Scalable execution of continuous queries over massive data streams often requires splitting input streams into parallel sub-streams over which query operators are executed in paral...
Erik Zeitler, Tore Risch
134
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EUSFLAT
2009
134views Fuzzy Logic» more  EUSFLAT 2009»
15 years 13 days ago
Flow Line Systems with Possibilistic Data: a System with Waiting Time in Line Uncertain
This paper proposes to analyze two flow line systems in which we include possibilistic data -the priority-discipline is possibilistic instead of probabilistic- and measure the perf...
David de la Fuente, María José Pardo
151
Voted
BMCBI
2006
121views more  BMCBI 2006»
15 years 2 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
127
Voted
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 2 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
DCOSS
2008
Springer
15 years 4 months ago
Energy-Efficient Task Mapping for Data-Driven Sensor Network Macroprogramming
Data-driven macroprogramming of wireless sensor networks (WSNs) provides an easy to use high-level task graph representation to the application developer. However, determining an e...
Animesh Pathak, Viktor K. Prasanna