Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...

When training a logistic regression model, there are many optimization algorithms that can be used, such as stochastic gradient descent (SGD), iterated Newton-Raphson, Nelder-Mead and L-BFGS. This ...

Building a chemical plant. Developing an airline route. Modeling the shapes of proteins. Each of these actions requires optimization algorithms – the combination of math and theory translated into ...

This is a preview. Log in through your library . Abstract The line search strategy is crucial for an efficient unconstrained optimization algorithm. One of the reason why the Wolfe line searches is ...