Model selection with cross validation (CV) is very popular in machine learning. However, CV with grid and other common search strategies cannot guarantee to find the model with minimum CV error, which is often the ultimate goal of model selection. Recently, various solution path algorithms have been proposed for several important learning algorithms including support vector classification, Lass...

This study intends to semi-analytically investigate the steady 3D boundary layer flow of a SiC-TiO2/DO hybrid nanofluid over a porous spinning disk subject to a constant vertical magnetic field. Here, the novel attitude to single-phase hybrid nanofluid model corresponds to considering nanoparticles and base fluid masses to compute solid equivalent volume fraction, solid equivalent de...

Aneurysm volume/virtual column volume (AV/CV) ratio, calculated from measurements derived from reconstructed images based on rotational three-dimensional digital subtraction angiography (3D-DSA), was investigated as a predictor of the success of intraaneurysmal embolization in 20 unruptured wide-necked internal carotid artery aneurysms treated by Guglielmi detachable coils. AV and neck area wer...

Quantitative microscopical measurements have been made of the proportion of cell volume occupied by cytoplasm in a cell suspension culture derived from cotyledons of bush bean (cv. Contender). On a 7-day culture cycle, the content of cytoplasm varies from 25% at the time of transfer to 45% at the start of the phase of rapid cell division. If the culture is continued beyond 7 days, the vacuole v...

Model checking is an automatic verification technique for hardware and software systems that are finite state or have finite state abstractions. It has been used successfully to verify computer hardware, and it is beginning to be used to verify computer software as well. As the number of state variables in the system increases, the size of the system state space grows exponentially. This is cal...