In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
We propose a new ensembling method of Support Vector Machines (SVMs) based on Feature Space Restructuring. In the proposed method, the weighted majority voting method is applied f...
Source code analysis and inspection does not provide enough information to describe the structure of an objectoriented program completely because there are components and relation...
This experience paper presents observations, lessons learned, and recommendations based on a case study of reuse. The case study is concerned with the development, maturation, and...
Higher levels of integration, the need for test re-use, and the mixed-signal nature of today’s SOC’s necessitate hierarchical test generation and system level test composition...