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» GRASP for Instance Selection in Medical Data Sets
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CBMS
2009
IEEE
16 years 25 days ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
CSCW
2004
ACM
15 years 11 months ago
Capturing and supporting contexts for scientific data sharing via the biological sciences collaboratory
Scientific collaboration is largely focused on the sharing and joint analysis of scientific data and results. Today, a movement is afoot within the scientific computing community ...
George Chin Jr., Carina Lansing
ICML
2006
IEEE
16 years 6 months ago
Concept boundary detection for speeding up SVMs
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
Navneet Panda, Edward Y. Chang, Gang Wu
CBMS
2008
IEEE
15 years 8 months ago
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
OTM
2009
Springer
16 years 17 days ago
A Model for Semantic Equivalence Discovery for Harmonizing Master Data
IT projects often face the challenge of harmonizing metadata and data so as to have a “single” version of the truth. Determining equivalency of multiple data instances against ...
Baba Piprani