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» Reformulating Constraint Models Using Input Data
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142
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SC
2009
ACM
15 years 9 months ago
Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation
Error Subspace Statistical Estimation (ESSE), an uncertainty prediction and data assimilation methodology employed for real-time ocean forecasts, is based on a characterization an...
Constantinos Evangelinos, Pierre F. J. Lermusiaux,...
147
Voted
IDA
2000
Springer
15 years 2 months ago
Supervised model-based visualization of high-dimensional data
When high-dimensional data vectors are visualized on a two- or three-dimensional display, the goal is that two vectors close to each other in the multi-dimensional space should als...
Petri Kontkanen, Jussi Lahtinen, Petri Myllymä...
157
Voted
OSDI
2004
ACM
16 years 2 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
133
Voted
AIA
2006
15 years 4 months ago
Computational Model of Speech Understanding
This paper proposes a speech comprehension computational model based on neurocognitiveresearches. The computational representation uses techniques as wavelets transform and connec...
Daniel Nehme Müller, Philippe Olivier Alexand...
EAAI
2007
101views more  EAAI 2007»
15 years 2 months ago
Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model
In the paper an application of the interval fuzzy model (INFUMO) in fault detection for nonlinear systems with uncertain intervaltype parameters is presented. A confidence band f...
Simon Oblak, Igor Skrjanc, Saso Blazic