Sentence examples for using a kernel regressor from inspiring English sources

The observed profile is normalized to 1 and its dot product with a normalized averagine theoretical profile for the estimated mass (obtained using a kernel regressor) is computed.

Distributions were estimated using a kernel density distribution.

Kernel based learning methods are those methods which use a kernel as a non-linear similarity to perform comparisons.

Local cell density was estimated with a kernel density estimator using a Gaussian kernel on eight different scales.

A detrending function using a polynomial regressor was applied to cancel out the DC shifts.

For each subject, each condition was modeled using a separate regressor in the GLM.

The spot enumeration was done with a kernel density estimation based algorithm [15] using a Gaussian kernel.

Mutual information was computed using a Gaussian Kernel estimate.

Nonparametric density estimates were generated using a Gaussian smoothing kernel.

The data were then modeled voxel-wise, using a GLM that included regressors for all experimental trials as well as regressors for the target-detection task.

Note that Equation (17) uses a linear kernel, where.