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An efficient approach for feature construction of high-dimensional microarray data by random projections.
Dimensionality reduction of microarray data is a very challenging task due to high computational time and the large amount of memory required to train and test a model. Genetic programming (GP) is a stochastic approach to solving a problem. For high dimensional datasets, GP does not perform as well...
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Main Authors: | , , |
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Format: | Artigo |
Jezik: | Inglês |
Izdano: |
Public Library of Science (PLoS)
2018-01-01
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Serija: | PLoS ONE |
Online dostop: | http://europepmc.org/articles/PMC5922581?pdf=render |
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