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CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
15 years 11 months ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen
BMCBI
2006
91views more  BMCBI 2006»
15 years 6 months ago
Empirical study of supervised gene screening
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...
Shuangge Ma
WCRE
2006
IEEE
16 years 12 days ago
The Experimental Paradigm in Reverse Engineering: Role, Challenges, and Limitations
In many areas of software engineering, empirical studies are playing an increasingly important role. This stems from the fact that software technologies are often based on heurist...
Lionel C. Briand
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 7 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
SAC
2009
ACM
16 years 1 months ago
An empirical study of incorporating cost into test suite reduction and prioritization
Software developers use testing to gain and maintain confidence in the correctness of a software system. Automated reduction and prioritization techniques attempt to decrease the...
Adam M. Smith, Gregory M. Kapfhammer