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JOCN
2010
99views more  JOCN 2010»
13 years 7 months ago
"Virus and Epidemic": Causal Knowledge Activates Prediction Error Circuitry
■ Knowledge about cause and effect relationships (e.g., virus– epidemic) is essential for predicting changes in the environment and for anticipating the consequences of events...
Daniela B. Fenker, Mircea Ariel Schoenfeld, Michae...
NPL
2011
12 years 11 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...
HPCA
2001
IEEE
14 years 9 months ago
Differential FCM: Increasing Value Prediction Accuracy by Improving Table Usage Efficiency
Value prediction is a relatively new technique to increase the Instruction Level Parallelism (ILP) in future microprocessors. An important problem when designing a value predictor...
Bart Goeman, Hans Vandierendonck, Koenraad De Boss...
ICASSP
2009
IEEE
14 years 3 months ago
Conditional random fields for the prediction of signal peptide cleavage sites
Correct prediction of signal peptide cleavage sites has a significant impact on drug design. State-of-the-art approaches to cleavage site prediction typically use generative mode...
Man-Wai Mak, Sun-Yuan Kung
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
14 years 3 months ago
Online Reliability Estimates for Individual Predictions in Data Streams
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Pedro Pereira Rodrigues, João Gama, Zoran B...