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KDD
2002
ACM
126views Data Mining» more  KDD 2002»
15 years 10 months ago
Integrating feature and instance selection for text classification
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...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
15 years 4 months ago
A Comparative Study of Methods for Transductive Transfer Learning
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...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
BMCBI
2005
142views more  BMCBI 2005»
14 years 9 months ago
CLU: A new algorithm for EST clustering
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 ...
Andrey A. Ptitsyn, Winston Hide
TSE
2010
102views more  TSE 2010»
14 years 4 months ago
Understanding Exception Handling: Viewpoints of Novices and Experts
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...
Hina Shah, Carsten Görg, Mary Jean Harrold
52
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ICASSP
2009
IEEE
15 years 4 months ago
On the role of localization cues in binaural segregation of reverberant speech
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...
John Woodruff, DeLiang Wang