Numerical analysis

TL;DR: Two methods of machine learning are described, which are used to build estimators of software development effort from historical data, which indicate that these techniques are competitive with traditional estimators on one dataset, but also illustrate that these methods are sensitive to the data on which they are trained.

TL;DR: A novel, computerized method of examining cerebral cortical thickness is presented, which presents graphical results that map cortical thickness everywhere in a normal brain, and shows global variations in cortical thickness consistent with known neuroanatomy.

TL;DR: It is found that the power of the BiSSE method is severely affected by both sample size and high tip ratio bias, and future studies utilizing BiS SE that have fewer than 300 terminals and/or have datasets where highTip ratio bias is observed should be extremely cautious with the interpretation of hypothesis testing results.

TL;DR: In this paper, a simple accurate method, which automatically takes full account of the discontinuities in the normal electric field components across any arbitrary distribution of internal dielectric interfaces, is presented for the determination of polarised solutions of the Helmholtz wave equation.