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ISCA
1997
IEEE
98views Hardware» more  ISCA 1997»
14 years 17 days ago
Target Prediction for Indirect Jumps
As the issue rate and pipeline depth of high performance superscalar processors increase, the amount of speculative work issued also increases. Because speculative work must be th...
Po-Yung Chang, Eric Hao, Yale N. Patt
ESEM
2008
ACM
13 years 10 months ago
An empirical model to predict security vulnerabilities using code complexity metrics
Complexity is often hypothesized to be the enemy of software security. If this hypothesis is true, complexity metrics may be used to predict the locale of security problems and ca...
Yonghee Shin, Laurie Williams
ICONIP
2004
13 years 10 months ago
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction
Recently, the Support Vector Regression (SVR) has been applied in the financial time series prediction. The financial data are usually highly noisy and contain outliers. Detecting ...
Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King...
NIPS
2003
13 years 10 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc
ISCA
1998
IEEE
151views Hardware» more  ISCA 1998»
14 years 1 months ago
Alternative Implementations of Two-Level Adaptive Branch Prediction
As the issue rate and depth of pipelining of high performance Superscalar processors increase, the importance of an excellent branch predictor becomes more vital to delivering the...
Tse-Yu Yeh, Yale N. Patt