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CASCON
2001
142views Education» more  CASCON 2001»
15 years 7 months ago
An analytical model for buffer hit rate prediction
Of the many tuning parameters available in a database management system (DBMS), one of the most crucial to performance is the buffer pool size. Choosing an appropriate size, howev...
Yongli Xi, Patrick Martin, Wendy Powley
BC
2002
91views more  BC 2002»
15 years 6 months ago
Linear combinations of nonlinear models for predicting human-machine interface forces
ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
James L. Patton, Ferdinando A. Mussa-Ivaldi
RECOMB
2006
Springer
16 years 6 months ago
Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence
Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
Sauro Menchetti, Andrea Passerini, Paolo Frasconi,...
ESEM
2008
ACM
15 years 8 months ago
An empirical model to predict security vulnerabilities using code complexity metrics
Complexity is often hypothesized to be the enemy of software security. If this hypothesis is true, complexity metrics may be used to predict the locale of security problems and ca...
Yonghee Shin, Laurie Williams
CLUSTER
2004
IEEE
15 years 10 months ago
Predicting memory-access cost based on data-access patterns
Improving memory performance at software level is more effective in reducing the rapidly expanding gap between processor and memory performance. Loop transformations (e.g. loop un...
Surendra Byna, Xian-He Sun, William Gropp, Rajeev ...