The phrase "used least" is a correct and usable part of a sentence in written English.
It is typically used in comparative situations, such as: "Out of all the methods for solving the problem, the one used least was the most successful."
The commonly used Least Recently Used (LRU) replacement policy always predicts a near-immediate re-reference interval, hence, applications that exhibit a distant re-reference interval may perform poorly under LRU replacement policy.
However, we propose a novel regression method that substitutes the commonly used Least Squares regressor.
Of all the shelters, the simple wall design appeared to be used least.
The commonly used least squares method is prone to over-estimation, thus the Chebyshev fitting should in turn be implemented.
The commonly used least squares (LS) fit and the recently introduced maximum likelihood (ML) estimation are competing methods.
Their target market is doctors in small practices, with 10 physicians or less — where digital records are used least.
The advantage of RIFT over the commonly used least-squares objective function is demonstrated.
The methodology was based on the concepts of metapopulation ecology and landscape ecology and used least-cost paths analyses.
First, since the widely used least-square support regression (LS-SVR) algorithm cannot cope with the multi-output problem directly, this paper uses multi-task transfer learning technology to construct a novel multi-output LS-SVR (M-LS-SVR) for multivariable nonlinear systems.
Wood and Schmidtlein (2013) and Fraser et al. (2014) both used least-cost distance analyses to study the different evacuation times needed by the evacuees following a tsunami disaster.
Therefore, we used least-squares-means (LSMEANs) instead.
