The phrase "a better generalization of" is correct and usable in written English.
You can use it when discussing improvements or refinements in the way concepts or data are represented or understood.
Example: "This new model provides a better generalization of the observed phenomena compared to previous theories."
Alternatives: "an improved representation of" or "a more accurate abstraction of".
To obtain a better generalization of the networks presented in this work, 1,570 of training data, which were selected randomly, were used as a cross-validation set.
A model w1 that is more similar to w2 predicts the unknown data (red) better, which results in a better generalization of the model.
This allows for a better generalization of the effects of stimulus parameters.
This method allows a better generalization of our classification algorithms to other clinical centers and ensures that only disorder-specific changes are used for SVM based discrimination.
Because of the limited number of learning examples, learning with a small number of features often leads to a better generalization of machine learning algorithms (Occam's razor).
Added values of this study include the analysis of depression, which showed to be one of the major causes of disability in young individuals and the inclusion of institutionalized population in the survey sample, allowing a better generalization of the results to the Belgian elderly population.
10-fold stratified cross-validation is used to obtain a better generalization estimate of the performance.
The study results clearly show that the ICGA SRAN classifier produces a better generalization performance with a smaller number of features, lower misclassification rate and a compact network.
These two Teaching Hospitals were chosen to allow a fair representation of respondents from both southern and northern parts of Ghana, for better generalization of results.
Better generalization of Bauwens-BRANN model is seen in the comparison between Bauwens-BRANN and NFPA-68 2013 model.
The squared l2 norm can prevent each eigenphone from being too large, yielding better generalization of the adapted model.
