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SIGSOFT
2010
ACM
13 years 5 months ago
Supporting human-intensive systems
Executing critical systems often rely on humans to make important and sometimes life-critical decisions. As such systems become more complex, the potential for human error to lead...
Lori A. Clarke, Leon J. Osterweil, George S. Avrun...
BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
13 years 7 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
BMCBI
2007
153views more  BMCBI 2007»
13 years 7 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
14 years 8 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 1 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya