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» Optimal Statistical Tuning of the RED Parameters
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BMCBI
2007
194views more  BMCBI 2007»
14 years 9 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
DEBU
2008
141views more  DEBU 2008»
14 years 9 months ago
Oracle's SQL Performance Analyzer
We present the SQL Performance Analyzer, a novel approach in Oracle Database 11g to testing database changes, such as upgrades, parameter changes, schema changes, and gathering op...
Khaled Yagoub, Peter Belknap, Benoît Dagevil...
BIB
2011
14 years 1 months ago
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 1 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
VLSID
2009
IEEE
155views VLSI» more  VLSID 2009»
15 years 10 months ago
Unified Challenges in Nano-CMOS High-Level Synthesis
: The challenges in nano-CMOS circuit design include the following: variability, leakage, power, thermals, reliability, and yield. This talk will focus on interdependent considerat...
Saraju P. Mohanty