نتایج جستجو برای: weight selection

تعداد نتایج: 656815  

Journal: :Journal of animal science 1982
R M Bourdon J S Brinks

Data on the Red Angus, Angus and Hereford herds of Pioneer Hi-Bred International, Inc., Des Moines, Iowa, collected from 1968 to 1976, were analyzed for relationships among gestation length, birth weight, prenatal gain (birth weight adjusted for gestation length), growth traits and age at first calving. A total of 5,691 calf records, 1,783 listing gestation length, were included in the study. P...

In current research, the expression level of Dx2 and Dy12 genes on Glu-D1 locus that encoding the high-molecular-weight glutenin subunits (HMW-GSs), with negative impact on quality of bakery in genotype mutant bread wheat called RO-3 with high quality of bakery and its parent (Roshan) with low quality of bakery was investigated. For this purpose, sampling was performed grains at intervals of 5,...

جهانی, مجتبی, محمدی نژاد, قاسم , نعمت زاده, قربانعلی ,

Facilitate the selection procedure to improve performance of new genotypes of rice is essential. In present study in order to evaluate relationship between grain yields with other agronomic traits, a global rice collection including 100 accessions was seeded in an incomplete block design (triple lattice 10×10). Afterward, grain yield and 14 morphological traits were evaluated. Correlation coeff...

Journal: :Proceedings of the ... AAAI Conference on Artificial Intelligence 2023

Tabular biomedical data is often high-dimensional but with a very small number of samples. Although recent work showed that well-regularised simple neural networks could outperform more sophisticated architectures on tabular data, they are still prone to overfitting tiny datasets many potentially irrelevant features. To combat these issues, we propose Weight Predictor Network Feature Selection ...

Journal: :Information 2021

As the classic feature selection algorithm, Relief algorithm has advantages of simple computation and high efficiency, but itself is limited to only dealing with binary classification problems, comprehensive distinguishing ability subsets composed former K features selected by often redundant, as cannot select ideal subset. When calculating correlation redundancy between characteristics mutual ...

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