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» Variable selection using neural-network models
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ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
15 years 4 months ago
Toward model free atmospheric sensing by aerial robot networks in strong wind fields
Abstract—This paper presents a system for in situ atmospheric sensing using an aerial robot system in the presence of a strong wind field. The geostatistical concept of the vari...
Jack Elston, Maciej Stachura, Eric W. Frew, Ute C....
WSC
2008
15 years 1 days ago
Identifying significant factors affecting Request For Information (RFI) process time
The research is to illustrate how to identify the significant factor(s) affecting the Request For Information (RFI) process cycle time in the context of queueing behavior. Among t...
Chang-sun Chin, Jeffrey S. Russell
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
15 years 7 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
14 years 9 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty
WSC
2004
14 years 11 months ago
A Large Deviations Perspective on Ordinal Optimization
We consider the problem of optimal allocation of computing budget to maximize the probability of correct selection in the ordinal optimization setting. This problem has been studi...
Peter W. Glynn, Sandeep Juneja