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HPCA
2000
IEEE
15 years 7 months ago
Decoupled Value Prediction on Trace Processors
Value prediction is a technique that breaks true data dependences by predicting the outcome of an instruction, and executes speculatively its data-dependent instructions based on ...
Sang Jeong Lee, Yuan Wang, Pen-Chung Yew
96
Voted
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
15 years 7 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...
133
Voted
AI
1998
Springer
15 years 2 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
ESEM
2008
ACM
15 years 4 months ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...
MICCAI
2007
Springer
16 years 3 months ago
Quantification of Measurement Error in DTI: Theoretical Predictions and Validation
The presence of Rician noise in magnetic resonance imaging (MRI) introduces systematic errors in diffusion tensor imaging (DTI) measurements. This paper evaluates gradient directio...
Casey Goodlett, P. Thomas Fletcher, Weili Lin, Gui...