Your English writing platform
Discover LudwigSuggestions(2)
Exact(3)
Different from classical WM method, the weighting factor of retrieved case for each solution element adaptation is calculated by multiplying similarity matrix (SM) and relational matrix (RM), and the adapted solution values of new mechanical product are subsequently obtained by calculating the weighted average of solution values of K similar cases.
In collocation method, the weighting functions are obtained from the family of Dirac δ functions in the domain.
In our method, the weighting functions used for CRF estimation are based on an identity CRF (recall the chicken-and-egg problem mentioned in Section "Dealing with unknown camera model parameters").
Similar(57)
In the weighted average method, the weight is assigned to each expert.
In the proposed optimization method, the weights W i,s, W i−j,s also directly affect the optimization results.
In order to apply the improved method, the weight between node 2 and node 3 is assumed to be infinite.
The results reveal that with the proposed optimization method, the weight of composite structures could be further reduced.
Finally, via the proposed weight value iterative method, the weight values of the training sample are converged, and the model with good predicting performance is obtained.
There is a parameter in the proposed method: the weight ω c of the within-classes scatter matrix of the center region in (2).
In the first iteration of BIRLS method, the weight matrix is initialized to the identity matrix which means a regular LS is applied.
In this method, the weight factor 1/y was found to be the most appropriate.
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