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CVPR
2012
IEEE
13 years 6 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
134
Voted
ICARIS
2003
Springer
15 years 9 months ago
A Randomized Real-Valued Negative Selection Algorithm
This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it ...
Fabio A. González, Dipankar Dasgupta, Luis ...
126
Voted
WSC
2004
15 years 5 months ago
Better Selection of the Best
We present a new method of selecting the best of several competing system designs on the basis of expected steadystate performance. The method uses a new form of timeseries bootst...
Huaiyu Harry Ma, Thomas R. Willemain
BMCBI
2008
119views more  BMCBI 2008»
15 years 4 months ago
Snagger: A user-friendly program for incorporating additional information for tagSNP selection
Background: There has been considerable effort focused on developing efficient programs for tagging single-nucleotide polymorphisms (SNPs). Many of these programs do not account f...
Christopher K. Edlund, Won H. Lee, Dalin Li, David...
117
Voted
IOR
2006
74views more  IOR 2006»
15 years 3 months ago
On the Asymptotic Validity of Fully Sequential Selection Procedures for Steady-State Simulation
We present fully sequential procedures for steady-state simulation that are designed to select the best of a finite number of simulated systems when "best" is defined by...
Seong-Hee Kim, Barry L. Nelson