Sciweavers

322 search results - page 8 / 65
» Counting Dependence Predictors
Sort
View
EXPCS
2007
15 years 1 months ago
Introducing entropies for representing program behavior and branch predictor performance
Predictors are inherent components of state-of-the-art microprocessors. Branch predictors are discussed actively from diverse perspectives. Performance of a branch predictor large...
Takashi Yokota, Kanemitsu Ootsu, Takanobu Baba
CF
2007
ACM
15 years 1 months ago
Adaptive VP decay: making value predictors leakage-efficient designs for high performance processors
Energy-efficient microprocessor designs are one of the major concerns in both high performance and embedded processor domains. Furthermore, as process technology advances toward d...
Juan M. Cebrian, Juan L. Aragón, José...
ALMOB
2007
133views more  ALMOB 2007»
14 years 9 months ago
Characteristics of predictor sets found using differential prioritization
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
42
Voted
HICSS
2002
IEEE
97views Biometrics» more  HICSS 2002»
15 years 2 months ago
A Novel Method for Voltage Instability Protection
The growing concern about wide area power system disturbances and their impact on power systems have reinforced interest in the new generation of system protection tools. Their ap...
Miroslav Begovic, Borka Milosevic, Damir Novosel
ICPR
2000
IEEE
15 years 10 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes