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pro vyhledávání: '"Chinedu Nworu"'
Singular value decomposition (SVD) of rectangular datasets has proved to be a useful multivariate data decomposition approach because of its ability to decompose both square and rectangular matrices. Choi & Huh (1996) SVD approach utilizes the median
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7e0e6ef59bd3b847f9ada8f35e75fb1
https://doi.org/10.21203/rs.3.rs-2089244/v1
https://doi.org/10.21203/rs.3.rs-2089244/v1
The choice of activation functons is very important in deep learning. This is because activation functions are capable of capturing non-linear patterns in a data. The most popular actiavtion function is the Rectified Linear Unit (ReLU) but it suffers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90413f04333b9f988f960dedde7c7549
https://doi.org/10.21203/rs.3.rs-2064395/v1
https://doi.org/10.21203/rs.3.rs-2064395/v1
Autor:
Ekta Marwah, Denis Balcerzak, Tiffany Ann Lamb, June Clements, Chinedu Nworu, Linh Pham, Laurel McKee, Judith Pugh, Yu-Zhen Liu, Rachel Miller, Heather Gustafson
Publikováno v:
Applied Immunohistochemistry & Molecular Morphology
Supplemental Digital Content is available in the text.
Ataxia-telangiectasia mutated (ATM), a key activator of DNA damage response mechanisms, represents a potential biomarker for targeted gastric carcinoma therapies. A phase II study (Study 39;
Ataxia-telangiectasia mutated (ATM), a key activator of DNA damage response mechanisms, represents a potential biomarker for targeted gastric carcinoma therapies. A phase II study (Study 39;
Autor:
Bliss, Katherine T., Takehiro Tsukada, Novak, Stefanie Mares, Dorovkov, Maxim V., Shah, Samar P., Chinedu Nworu, Kostyukova, Alia S., Gregorio, Carol C.
Publikováno v:
FASEB Journal; Sep2014, Vol. 28 Issue 9, p3987-3995, 9p