317 search results - page 21 / 64 » From Transformation-Based Dimensionality Reduction to Featur... |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
69
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CIARP
2006
Springer
15 years 1 months ago
2006
Springer
Feature selection is a critical procedure in many pattern recognition applications. There are two distinct mechanisms for feature selection namely the wrapper methods and the filte...
ECAI
2010
Springer
14 years 6 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
72
Voted
IJON
2008
14 years 9 months ago
2008
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
114
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ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...