2200 search results - page 19 / 440 » Objective reduction using a feature selection technique |
136
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ISDA
2010
IEEE
15 years 1 months ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
148
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PPSN
2010
Springer
15 years 1 months ago
2010
Springer
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
133
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CEC
2010
IEEE
15 years 4 months ago
2010
IEEE
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
98
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ICC
2007
IEEE
15 years 9 months ago
2007
IEEE
— Selected mapping (SLM) is a well-known method for reducing the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems. The main drawbac...
123
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...