1578 search results - page 236 / 316 » Temporal Data Classification Using Linear Classifiers |
131
Voted
BMCBI
2010
14 years 12 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
115
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
130
Voted
SSPR
2000
Springer
15 years 6 months ago
2000
Springer
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
124
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GRC
2010
IEEE
15 years 12 days ago
2010
IEEE
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
132
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...