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» Selective Value Prediction
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110
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BMCBI
2006
110views more  BMCBI 2006»
15 years 2 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
141
Voted
HPCA
2007
IEEE
16 years 2 months ago
Improving Branch Prediction and Predicated Execution in Out-of-Order Processors
If-conversion is a compiler technique that reduces the misprediction penalties caused by hard-to-predict branches, transforming control dependencies into data dependencies. Althou...
Eduardo Quiñones, Joan-Manuel Parcerisa, An...
116
Voted
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 4 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
ISCAS
2003
IEEE
102views Hardware» more  ISCAS 2003»
15 years 7 months ago
Bifurcation analysis of a power-factor-correction boost converter: uncovering fast-scale instability
Bifurcation analysis is performed to a power-factor-correction (PFC) boost converter to examine the fast-scale instability problem. Computer simulations and analysis reveal the po...
C. K. Michael Tse, Octavian Dranga, Herbert H. C. ...
IEEEPACT
2000
IEEE
15 years 7 months ago
On Some Implementation Issues for Value Prediction on Wide-Issue ILP Processors
In this paper, we look at two issues which could affect the performance of value prediction on wide-issue ILP processors. One is the large number of accesses to the value predicti...
Sang Jeong Lee, Pen-Chung Yew