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EUROPAR
2000
Springer
13 years 11 months ago
A Statistical-Empirical Hybrid Approach to Hierarchical Memory Analysis
A hybrid approach that utilizes both statistical techniques and empirical methods seeks to provide more information about the performance of an application. In this paper, we prese...
Xian-He Sun, Kirk W. Cameron
ICANN
2009
Springer
14 years 6 days ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 8 months ago
Empirical comparisons of various voting methods in bagging
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
Kelvin T. Leung, Douglas Stott Parker Jr.
ASPDAC
2006
ACM
158views Hardware» more  ASPDAC 2006»
14 years 1 months ago
Analysis of scratch-pad and data-cache performance using statistical methods
— An effectively designed and efficiently used memory hierarchy, composed of scratch-pads or cache, is seen today as the key to obtaining energy and performance gains in data-do...
Javed Absar, Francky Catthoor
BMCBI
2010
158views more  BMCBI 2010»
13 years 7 months ago
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
Corey M. Yanofsky, David R. Bickel