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pro vyhledávání: '"Shawn J. Baker"'
Autor:
Trevor S. Frisby, Shawn J. Baker, Guillaume Marçais, Quang Minh Hoang, Carl Kingsford, Christopher J. Langmead
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-19 (2021)
Abstract Background Supervised learning from high-throughput sequencing data presents many challenges. For one, the curse of dimensionality often leads to overfitting as well as issues with scalability. This can bring about inaccurate models or those
Externí odkaz:
https://doaj.org/article/1fc059f1c09743c3894a51417a32d3cc
