Significados de constrain optimization em inglês

With SVMs, constrained optimization became crucial for machine learning as well.

This manuscript describes a method of gradient waveform design by nonlinear constrained optimization.

Constrained optimization is the problem of maximizing or minimizing a function subject to constraints.

Randomization was achieved by use of the covariate- constrained optimization technique.

Constrained optimization is going as high as you can while staying on the road.

Finally, a constrained optimization problem is solved over this basis to find a clinically acceptable IMRT plan.

RDA integrates linear classification and beamspace transformation into a unified framework by formulating a constrained optimization problem.

Dimensionality reduction makes constrained optimization computationally efficient.

The analogizers (or more precisely, the SVM mavens) use constrained optimization to find the best model.

Purpose: The authors use reduced-order constrained optimization (ROCO) to create clinically acceptable IMRT plans quickly and automatically for advanced lung cancer patients.

Third, a constrained optimization problem over this basis is quickly solved to find an IMRT plan that meets organ-at-risk (OAR) and target coverage constraints.