Search alternatives:
action optimization » reaction optimization (Expand Search), function optimization (Expand Search), codon optimization (Expand Search)
whole optimization » whale optimization (Expand Search), wolf optimization (Expand Search), dose optimization (Expand Search)
library based » laboratory based (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based action » based motion (Expand Search), based active (Expand Search), based fusion (Expand Search)
based whole » used whole (Expand Search)
action optimization » reaction optimization (Expand Search), function optimization (Expand Search), codon optimization (Expand Search)
whole optimization » whale optimization (Expand Search), wolf optimization (Expand Search), dose optimization (Expand Search)
library based » laboratory based (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based action » based motion (Expand Search), based active (Expand Search), based fusion (Expand Search)
based whole » used whole (Expand Search)
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Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
Published 2020“…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …”
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Table_3_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.xlsx
Published 2023“…Although the training samples in the optimized set are fewer than in the original set, the prediction precision is almost equivalent to that obtained when using the whole set. …”
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Image_1_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.jpeg
Published 2023“…Although the training samples in the optimized set are fewer than in the original set, the prediction precision is almost equivalent to that obtained when using the whole set. …”
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Image_2_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.jpeg
Published 2023“…Although the training samples in the optimized set are fewer than in the original set, the prediction precision is almost equivalent to that obtained when using the whole set. …”
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DataSheet_1_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.docx
Published 2023“…Although the training samples in the optimized set are fewer than in the original set, the prediction precision is almost equivalent to that obtained when using the whole set. …”
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Image_3_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.jpeg
Published 2023“…Although the training samples in the optimized set are fewer than in the original set, the prediction precision is almost equivalent to that obtained when using the whole set. …”
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Table_4_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.xlsx
Published 2023“…Although the training samples in the optimized set are fewer than in the original set, the prediction precision is almost equivalent to that obtained when using the whole set. …”
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Table_2_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.xlsx
Published 2023“…Although the training samples in the optimized set are fewer than in the original set, the prediction precision is almost equivalent to that obtained when using the whole set. …”
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Table_1_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.xlsx
Published 2023“…Although the training samples in the optimized set are fewer than in the original set, the prediction precision is almost equivalent to that obtained when using the whole set. …”