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» Randomizing Outputs to Increase Prediction Accuracy
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DATE
2008
IEEE
161views Hardware» more  DATE 2008»
13 years 11 months ago
Spatial Correlation Extraction via Random Field Simulation and Production Chip Performance Regression
Statistical timing analysis needs a priori knowledge of process variations. Lack of such a priori knowledge of process variations prevents accurate statistical timing analysis, fo...
Bao Liu
DFT
2007
IEEE
105views VLSI» more  DFT 2007»
13 years 11 months ago
A Refined Electrical Model for Particle Strikes and its Impact on SEU Prediction
Decreasing feature sizes have led to an increased vulnerability of random logic to soft errors. A particle strike may cause a glitch or single event transient (SET) at the output ...
Sybille Hellebrand, Christian G. Zoellin, Hans-Joa...
KDD
2003
ACM
449views Data Mining» more  KDD 2003»
14 years 5 months ago
Passenger-based predictive modeling of airline no-show rates
Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
Richard D. Lawrence, Se June Hong, Jacques Cherrie...
NPL
2011
12 years 7 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
BMCBI
2006
100views more  BMCBI 2006»
13 years 4 months ago
STAR: predicting recombination sites from amino acid sequence
Background: Designing novel proteins with site-directed recombination has enormous prospects. By locating effective recombination sites for swapping sequence parts, the probabilit...
Denis C. Bauer, Mikael Bodén, Ricarda Thier...