Your English writing platform
Discover LudwigExact(57)
In this paper, we describe the proposed copula-based breakage model, and we construct such a model for an artificial dataset that allows to evaluate the prediction quality.
Evaluation on an artificial dataset with more than 6000 examples in addition to a real micro-cold forming process showed excellent classification results.
We first test Kernel Principal Component Analysis (KPCA) and Support Vector Machines (SVM) over an artificial dataset of simulated inflorescences with different types of flower distribution, which is coded as a sequence of flower-number per node along a shoot.
The proposed method was successfully applied, and compared with four state-of-the-art methods in one artificial dataset and three real-world datasets, two publicly available datasets (Box Jenkins gas furnace and gas mileage), and a dataset of a problem where the objective is to estimate the fluoride concentration in the effluent of a real urban water treatment plant (WTP).
We then performed the same inversion using the artificial dataset.
The artificial dataset thus generated are shown in Table 7.
As we explained in Section 4, we have worked with an artificial dataset.
Because of that, we use an artificial dataset for this initial implementation of the system.
Similar(3)
The performances of the method are demonstrated with a variety of artificial datasets.
Experiments are undertaken on seven real-world and a set of artificial datasets with various settings of costs.
Finally, the feasibility and effectiveness of L1-LSTBSVM are validated by extensive experimental results on both UCI datasets and artificial datasets.
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