Sentence examples for tuning of proposal from inspiring English sources

An additional benefit of the slice sampler is its adaptive step size, requiring no tuning of proposal distributions, which makes practical application of the method straightforward.

Nevertheless, automatic tuning of proposal distributions can be achieved using adaptive MH methods, which periodically update the proposal distribution based on acceptance rates over MCMC iterations in an adaptive way to maximize the efficiency of the sampling algorithm.

For the satellite tag example an initial 10,000 samples were drawn and discarded to allow for both burn-in and tuning of the proposal distribution [30].

Twenty Republicans, led by Speaker John A. Boehner, went to the White House at Mr. Obama's invitation after a day of fine-tuning their proposal to increase the Treasury Department's authority to borrow money to pay existing obligations through Nov. 22.

Next, a summary of results is presented on analysis topics (relation to fundamental limitations, stability) and finally several design proposals are discussed, focused to the tuning of PI+CI compensators.

The main goal of our proposal is to allow for: (i) design time reliability optimization; (ii) fine tuning of the run-time reliability assessment infrastructure, and (iii) run-time aging assessment.

And since the company took the unusual step of agreeing to foot the bill for local taxpayers (to the tune of about $60 million), the proposal might seem to be a shoo-in.

As discussed in Rosenthal (2011), manually tuning proposal distributions is infeasible when dealing with high-dimensional vectors of individual parameters, which is the case for additive genetic effects and environmental effects.

After approximate convergence is obtained, we tune the proposal distributions based on the observed covariances of samples and the final sample is then generated using the tuned, fixed proposal distributions.

That DUP-Sinn Fein blueprint, drawn up in 2010, has numerous drawbacks, but it shouldn't be beyond the bounds of a team as experienced as Richard Haass's to fine tune the proposal.

Fine-tune your proposal as needed until their feedback expresses great excitement for what you have to say to them.