New algorithm unlocks the power of quantum machine learning
A new study targets feature selection, a key step in machine learning where the algorithm determines which parts of the...
machine
Machine learning model outperforms traditional methods in myelofibrosis risk stratification
A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard...
Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology
Feiccabrino, J., Graff, W., Lundberg, A., Sandström, N. & Gustafsson, D. Meteorological knowledge useful for the improvement of snow rain...
Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection | BMC Psychiatry
Recursive Feature Elimination (RFE) and linear regression modelThrough Recursive Feature Elimination (RFE) combined with cumulative variance explanation (R2) analysis, this...
Machine learning methods for predicting residual strength in corroded oil and gas steel pipes
Ilman, M. N. & Kusmono, Analysis of internal corrosion in subsea oil pipeline. Case Stud. Eng. Fail. Anal. 2, 1–8...
Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques | Parasites & Vectors
Entomological and meteorological dataData on Aedes mosquito egg counts from 2013 to 2023 in the Basque Country were obtained using...
