Ai Feedback
Exact(59)
OpenMP balanced training SVM-SGD.
Hybrid MPI/OpenMP balanced training SVM-SGD.
Our balanced training SVM-SGD simultaneously uses the two approaches.
OpenMP version of balanced training SVM-SGD (Par-MC-SGD).
A balanced training algorithm for binary SVM-SGD classifiers, 2.
Hybrid MPI/OpenMP version of balanced training SVM-SGD (mpi-Par-MC-SGD).
Therefore, our balanced training SVM-SGD uses under-sampling the majority class (negative class).
The balanced training SVM-SGD also modifies the updating rule using the skewed misclassification costs.
These are parallel balanced training SVM-SGD using (T=20) epochs and regularization term (lambda = 0.0001).
AID2314 is a balanced training set with 37,055 active out of the 296,456 compounds present in it.
Since the original dataset was strongly imbalanced, a ensemble-based sampling procedure was applied to ensure balanced training sets.
Related(20)
fair training
reasonable training
equitable training
deliberate training
unbiased training
sustainable training
equal training
appropriate training
sensible training
square training
stable training
all round training
balanced complex
balanced team
balanced teaching
balanced film
balanced lifestyle
balanced reporting
balanced squad
balanced accuracy
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