124 search results - page 5 / 25 » Selective Pre-processing of Imbalanced Data for Improving Cl... |
ESEM
2007
ACM
13 years 11 months ago
2007
ACM
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
TKDE
2012
11 years 10 months ago
2012
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
EMNLP
2009
13 years 5 months ago
2009
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
BMCBI
2006
13 years 7 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
ISBI
2009
IEEE
14 years 2 months ago
2009
IEEE
We studied the performance of a double-spatial filtering method for classification of single-trial electroencephalography (EEG) data that couples the spherical surface Laplacian...