These algorithms automatically adjust (learn) their internal parameters based on data. However, there is a subset of parameters that is not learned and that have to be configured by an expert.

An international research team has used, for the first time, a powerful metaheuristic and a nature-inspired algorithm to improve the estimation of the parameters of PV cells and modules.

What are machine learning algorithms ... at the new parameter values. Eventually, with luck, the process converges. The variants on steepest descent try to improve the convergence properties.

If we turn the value proposition around, the quality and effectiveness of HPC simulations can be improved if we use machine learning to identify the parameters ... whole cluster to train an algorithm?

ReLU is usually the best choice for fast convergence ... Some optimization algorithms also adapt the learning rates of the model parameters by looking at the gradient history (AdaGrad, RMSProp ...

Use of an artificial intelligence software algorithm may provide measurements of spinopelvic parameters on lateral lumbar radiographs that are of comparable accuracy to surgeons, according to ...