Your English writing platform
Discover LudwigExact(19)
a In encoding, the designer determines optimal assignments between colors and objects, given the merit scores.
The most important types are based on random walks, subgraph patterns, optimal assignments, and graphlets.
Second, we introduce two new methods based on the optimal assignments.
Designers can use encoding assignment problems to generate color-coding systems by determining optimal assignments between colors and concepts.
Though obtaining optimal assignments is a network processors (NP) hard problem, Greedypipe quickly obtains very good assignments.
We used a graph kernel based on iterative similarity and optimal assignments (ISOAK, [3]) for non-linear Bayesian regression with Gaussian process priors (GP regression, [4]).
Similar(41)
The optimization of the edge weights in optimal assignment methods is a valuable approach for ligand‐based virtual screening experiments.
Thus, the weights in the optimal assignment step in the 4DFAP can be optimized with our approach.
The optimal assignment problem is one of the basic discrete optimization problems.
In principle, the optimization of edge weights can be applied to any optimal assignment approach.
Here we will show that either agrees with the optimal assignment on its first assignments or has already achieved optimality on the th assignment.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com