Sentence examples for functions to project from inspiring English sources
Mother wavelet parameterization allowed the tuning of basis functions to project the signals.
This HDA approach learns mapping functions to project multiple source domains and the target into a latent common subspace.
This new formulation uses margin-based loss functions to control model complexity independently of the dimensionality of the input space, and kernel functions to project the estimation problem to a higher dimensional space, which enables the solution of more complex nonlinear problem optimization methods to exist for a globally optimal solution.
There are limitations to using present-day exposure response functions to project future heat-related mortality levels, because the relationship between heat and mortality may change over time.
Holding population constant at 2010 levels, we combined the temperature data and cluster-based temperature-mortality functions to project city-specific temperature-attributable premature deaths for multiple future years which correspond to a single reporting year.
But anyway, the LP-XM150 has some good specs at least: 6,500 lumens brightness (which Sanyo says is the highest in this weight class), 1,000 1 contrast ratio, 1,204×768 resolution, Ethernet, a 7W speaker (mono), a 330W lamp and a vertical 360-degree tilt angle projection function to project images on the ceiling or floor.
ARCBALL uses a function to project the 2D touch points onto a virtual sphere whereas XY rotate simply converts translation of the touch point to rotation.
The 'Manage Datasets' tab contains functions to install new projects, as well as functions to display or delete existing projects.
The predictive control strategy exploits sets of Laguerre orthogonal functions to express the projected control trajectory.
These inner point features include the number of H-bond donors and acceptors, B-factor of structure atoms or protrusion index [42] The following aggregation function is used to project the pocket atoms feature vectors onto the inner points: textrm{IFV}(P) = sum_{mathrm{A}_{i}in mathrm{A}(P)} textrm{AFV}left(mathrm{A}_{i}right) cdot w text{dist}(P,mathrm{A}_{i})) quad || quad text{FV}(P), (2).
Since the data are often not linearly separable (e.g., there is no simple linear expression, or hyperplane, that separates high risk from low risk of hospital readmission), a kernel function is used to project the data into a higher-dimensional space.
