Results 291 to 300 of about 1,464,395 (349)

Reference proteins to improve Core 1 and Core 2 Alzheimer's disease CSF and plasma biomarkers. [PDF]

Brain
Karlsson L, Janelidze S, Barthélemy NR, Horie K, Therriault J, Gaetani L, Bellomo G, Schindler SE, Vogel J, Arvidsson I, Åström K, Gordon BA, Raji CA, Benzinger TLS, Morris JC, Nilsson J, Brinkmalm A, Palmqvist S, Stomrud E, Salvadó G, Pichet Binette A, Di Filippo M, Parnetti L, Rosa-Neto P, Blennow K, Bateman RJ, Mattsson-Carlgren N, Hansson O.   +27 more
europepmc   +1 more source

Comparative Analysis of Full-Length Reference Gene Stability in <i>Phoebe zhennan</i> Under Primary Abiotic and Biotic Stresses. [PDF]

Plants (Basel)
Chen B, Luo Y, Li Y, Liao Z, Ding Z, Liu W.   +5 more
europepmc   +1 more source

[How normal is 'normal'?].

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde, 1977
openaire   +1 more source

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Investigating the impact of data normalization on classification performance

Applied Soft Computing Journal, 2020
Data normalization is one of the pre-processing approaches where the data is either scaled or transformed to make an equal contribution of each feature.
Dalwinder Singh, Birmohan Singh
exaly   +2 more sources

On the ‘most normal’ normal

Communications in Numerical Methods in Engineering, 2007
AbstractGiven a set of normals in ℛ3, two algorithms are presented to compute the ‘most normal’ normal. The ‘most normal’ normal is the normal that minimizes the maximal angle with the given set of normals. A direct application is provided supposing a surface triangulation is available.
Aubry, Romain, Löhner, Rainald
openaire   +1 more source

Group Normalization

International Journal of Computer Vision, 2018
Batch Normalization (BN) is a milestone technique in the development of deep learning, enabling various networks to train. However, normalizing along the batch dimension introduces problems—BN’s error increases rapidly when the batch size becomes smaller,
Yuxin Wu, Kaiming He
semanticscholar   +1 more source

A Paradigm Shift in Cancer Immunotherapy: From Enhancement to Normalization

Cell, 2018
Harnessing an antitumor immune response has been a fundamental strategy in cancer immunotherapy. For over a century, efforts have primarily focused on amplifying immune activation mechanisms that are employed by humans to eliminate invaders such as ...
MIGUEL F Sanmamed, Lieping Chen
exaly   +2 more sources

Root Mean Square Layer Normalization

Neural Information Processing Systems, 2019
Layer normalization (LayerNorm) has been successfully applied to various deep neural networks to help stabilize training and boost model convergence because of its capability in handling re-centering and re-scaling of both inputs and weight matrix ...
Biao Zhang, Rico Sennrich
semanticscholar   +1 more source