Results 131 to 140 of about 6,206 (180)

Estimation of genetic parameters for reproductive traits in Korean dairy cattle. [PDF]

Anim Biosci
Lee JG, Seo J, Alam M, Song H, Lee S, Cho J, Dang CG, Lee J.   +7 more
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L21 : diplomski rad : plakat

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Common Spatial Pattern with L21-Norm

Neural Processing Letters, 2021
As one of the most commonly used algorithms in the field of feature extraction, common spatial pattern (CSP) has a good effect on multichannel electroencephalogram (EEG) signal classification, especially for motor imagery-based signals. However, the formulation of the conventional CSP based on the L2-norm is sensitive to outliers.
Haixian Wang, Wang Haixian
exaly   +2 more sources

Robust and structural sparsity auto-encoder with L21-norm minimization

Neurocomputing, 2021
Abstract The mean square error (MSE), as the most commonly used cost function for auto-encoder, is sensitive to outliers or impulsive noises in real-world application, which may misguide the training process. At the same time, stacked auto-encoder(SAE) is indeed a totally fully connected network, the parameters exponentially increase as the nodes and
Wen Quan, Yafei Song, Rui Li
exaly   +2 more sources

Linkage between actin and ribosomal protein L21 genes in Entamoeba histolytica

Molecular and Biochemical Parasitology, 1992
David Mirelman, Y Nuchamowitz, D Mirelman   +2 more
exaly   +3 more sources

The primary structure of rat ribosomal protein L21

Biochemical and Biophysical Research Communications, 1989
The covalent structure of rat ribosomal protein L21 was deduced from the sequence of nucleotides in a recombinant cDNA and confirmed from the NH2-terminal amino acid sequence of the protein. Ribosomal protein L21 contains 159 amino acids (the NH2-terminal methionine is removed after translation of the mRNA) and has a molecular weight of 18,322 ...
K R, Devi, Y L, Chan, I G, Wool
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Hierarchical extreme learning machine with L21-norm loss and regularization

International Journal of Machine Learning and Cybernetics, 2020
Recently, multilayer extreme learning machine (ELM) algorithms have been extensively studied for hierarchical abstract representation learning in the ELM community. In this paper, we investigate the specific combination of $$L_{21}$$ -norm based loss ...
Rui Li 0026, Xiaodan Wang, Yafei Song 0004, Lei Lei 0008   +3 more
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L21 Structure of the Alloy AuAgZn2

Nature, 1963
PROBABLY the most interesting examples of the L21 structure are the copper-based Heusler alloys Cu2MnX (X = aluminium, indium or tin), which are ferromagnetic in the ordered state. Recent additions to this structural type are Cu2MnSb (ref. 1), which is antiferromagnetic, and Au2MnAl (ref. 2), which is ferromagnetic.
D. P. MORRIS, C. D. PRICE
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Robust nonnegative matrix factorization using L21-norm

Proceedings of the 20th ACM international conference on Information and knowledge management, 2011
Nonnegative matrix factorization (NMF) is widely used in data mining and machine learning fields. However, many data contain noises and outliers. Thus a robust version of NMF is needed. In this paper, we propose a robust formulation of NMF using L21 norm loss function. We also derive a computational algorithm with rigorous convergence analysis.
Deguang Kong, Chris H. Q. Ding, Heng Huang 0001   +2 more
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Deformation of single crystals of the L21 ordered Ag2MgZn

Journal of Materials Science, 1980
The orientation and temperature dependence of slip geometry and yield stress in single crystals of the L21 ordered Ag2MgZn has been studied in compression in the temperature range 290 to 580 K. The slip direction in Ag2MgZn is exclusively 〈1 1 1〉 in this temperature range, but the slip plane varies with crystal orientations; slip occurs on (¯2 1 1) for
Masaharu Yamaguchi, Yukichi Umakoshi
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