Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Background: The continuous flow of EST data remains one of the richest sources for discoveries in modern biology. The first step in EST data mining is usually associated with EST ...
Several recent studies indicate that many industrial applications exhibit poor quality in the design of exception-handling. To improve the quality of error-handling, we need to und...
Approaches to binaural and stereo speech segregation have often assumed that localization information can be used as a primary cue to achieve segregation of a target signal. Resul...