1463 search results - page 5 / 293 » Feature selection based on the training set manipulation |
JUCS
2008
13 years 7 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
ISNN
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
JIPS
2006
13 years 7 months ago
2006
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
HIS
2008
13 years 9 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...