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133
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IJIT
2004
15 years 5 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
111
Voted
UAI
2004
15 years 5 months ago
Probabilistic Index Maps for Modeling Natural Signals
One of the major problems in modeling natural signals is that signals with very similar structure may locally have completely different measurements, e.g., images taken under diff...
Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez
151
Voted
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
15 years 1 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
SIAMAM
2011
14 years 10 months ago
Modeling and Design Optimization of a Resonant Optothermoacoustic Trace Gas Sensor
Trace gas sensors that are compact and portable are being deployed for use in a variety of applications including disease diagnosis via breath analysis, monitoring of atmospheric p...
Noemi Petra, John Zweck, Susan E. Minkoff, Anatoli...
182
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ICDCS
2012
IEEE
13 years 6 months ago
Combining Partial Redundancy and Checkpointing for HPC
Today’s largest High Performance Computing (HPC) systems exceed one Petaflops (1015 floating point operations per second) and exascale systems are projected within seven years...
James Elliott, Kishor Kharbas, David Fiala, Frank ...
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