Accurate sample size estimation is a cornerstone of successful Institutional Review Board (IRB) proposals, as it establishes the feasibility of clinical studies and ensures they are sufficiently ...

Abstract: This paper describes an estimation for a sample size of deep learning used in tree species classification by using an airborne hyperspectral sensor CASI-3. Sample size is a number of ...

Abstract: Estimation of classification evaluation metrics for small sample classification data is one of the most challenging task in Machine Learning model building process. The value of an ...

Correlated samples have been frequently avoided in case-controlgenetic association studies in part because the methods for handling them are either noteasily implemented or not widely known.

ABSTRACT: Maximum likelihood (ML) estimation for the generalized asymmetric Laplace (GAL) distribution also known as Variance gamma using simplex direct search algorithms is investigated. In this ...

'-n', '--network_size', default=None, type=int, help= '(9: RES9E, 16:RES16E) -- default set to: RES9ER' '-b', '--batch_size',default=8, type=int,help='(between 1<=b ...