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 ...
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
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. ...
Abstract Fingerprint classification represents an important preprocessing step in fingerprint identification, which can be very helpful in reducing the cost of searching large fing...
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...