168 search results - page 4 / 34 » Feature selection focused within error clusters |
ICASSP
2009
IEEE
14 years 27 days ago
2009
IEEE
In this paper, we introduce a novel vector quantization (VQ) scheme for distributing the quantization error equally among the quantized dimensions. Afterwards, the proposed VQ sch...
ESANN
2007
13 years 7 months ago
2007
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
BIOINFORMATICS
2006
13 years 6 months ago
2006
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
CLUSTER
2007
IEEE
14 years 15 days ago
2007
IEEE
- In high availability clustering solutions, an application must be configured properly to run within the framework of the high availability solution. This configuration is often c...
PKDD
2009
Springer
14 years 21 days ago
2009
Springer
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...