114 search results - page 11 / 23 » Feature Subset Selection and Ranking for Data Dimensionality... |
111
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CIKM
2010
Springer
14 years 9 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
112
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ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
ICDM
2005
IEEE
15 years 5 months ago
2005
IEEE
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
107
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BMCBI
2010
14 years 11 months ago
2010
Background: It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases...
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
The problem of selecting a sample subset sufficient to preserve diversity arises in many applications. One example is in the design of recombinant inbred lines (RIL) for genetic a...