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IJCAI
1989
13 years 8 months ago
Learning to Diagnose by Doing
This paper is a study on the process of evolution of a novice to an expert in a diagnostic context. In er, we have chosen an abstract example of a diagnostic problem. The results ...
Jayant Kalagnanam, Eswaran Subrahmanian
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 1 months ago
The second harmonic generation case-study as a gateway for es to quantum control problems
The Second Harmonic Generation (SHG), a process that turns out to be a good test case in the physics lab, can also be considered as a fairly simple theoretical test function for g...
Ofer M. Shir, Thomas Bäck
BMCBI
2010
154views more  BMCBI 2010»
13 years 7 months ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...
CSB
2005
IEEE
156views Bioinformatics» more  CSB 2005»
14 years 1 months ago
A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
Gabriela Alexe, Gyan Bhanot, Babu Venkataraghavan,...
SMI
2005
IEEE
14 years 29 days ago
Subdomain Aware Contour Trees and Contour Evolution in Time-Dependent Scalar Fields
For time-dependent scalar fields, one is often interested in topology changes of contours in time. In this paper, we focus on describing how contours split and merge over a certa...
Andrzej Szymczak