2200 search results - page 15 / 440 » Objective reduction using a feature selection technique |
BMCBI
2004
13 years 9 months ago
2004
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
ICML
1997
IEEE
14 years 1 months ago
1997
IEEE
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
SBBD
2004
13 years 10 months ago
2004
The amount of data collected in the last decades has become a source of valuable information, allowing organizations to improve their competitiveness. However, the associated data...
ICNC
2005
Springer
14 years 2 months ago
2005
Springer
The problem of automatic classification of ultrasound images is addressed. For texture analysis of ultrasound images quantifiable indexes, called features, are used. Classificat...
CAIP
2005
Springer
14 years 2 months ago
2005
Springer
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...