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EUROPAR
2000
Springer
13 years 8 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
13 years 9 months 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 5 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»
13 years 11 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 5 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