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ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 years 10 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
BMCBI
2005
118views more  BMCBI 2005»
13 years 10 months ago
Feature selection and nearest centroid classification for protein mass spectrometry
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
Ilya Levner
KAIS
2010
132views more  KAIS 2010»
13 years 8 months ago
Integrating multiple document features in language models for expert finding
We argue that expert finding is sensitive to multiple document features in an organizational intranet. These document features include multiple levels of associations between expe...
Jianhan Zhu, Xiangji Huang, Dawei Song, Stefan M. ...
PAA
2010
13 years 5 months ago
A comparative study on feature extraction for fingerprint classification and performance improvements using rank-level fusion
Abstract Fingerprint classification represents an important preprocessing step in fingerprint identification, which can be very helpful in reducing the cost of searching large fing...
Uday Rajanna, Ali Erol, George Bebis
JSS
2006
127views more  JSS 2006»
13 years 10 months ago
An approach to feature location in distributed systems
This paper describes an approach to the feature location problem for distributed systems, that is, to the problem of locating which code components are important in providing a pa...
Dennis Edwards, Sharon Simmons, Norman Wilde