1405 search results - page 50 / 281 » Anytime Algorithm for Feature Selection |
141
Voted
TCBB
2010
15 years 8 days ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
113
Voted
ICCV
2011
IEEE
14 years 1 months ago
2011
IEEE
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
133
Voted
DOCENG
2006
ACM
15 years 7 months ago
2006
ACM
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
130
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KDD
2002
ACM
16 years 2 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
134
Voted
CVPR
2004
IEEE
16 years 3 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...