Sentence examples for dataset to compare from inspiring English sources
This paper utilized simulation dataset to compare the GVCA method with other classification algorithms.
We conduct quantitative and qualitative evaluation on the benchmark dataset to compare our detection performance with the prior arts.
Thus, a two-year field investigation was carried out to provide a dataset to compare the effectiveness of HYDRUS-2D, a physically-based numerical model, with various machine-learning models, including Multiple Linear Regressions (MLR), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Support Vector Machines (SVM), for simulating time series of SWC data under water stress conditions.
To clarify this issue, a large set of earthquake records were extracted from NGA-WEST2 (Ancheta et al. 2012, 2013; Pacific Earthquake Engineering Research Center 2015) dataset to compare the peak vertical to horizontal ground acceleration (V/H ratio) at different ground motion magnitudes and distances.
In this paper, we use a unique Canadian administrative dataset to compare the outcomes of immigrants with and without prior experience in Canada and evaluate whether changes in immigration policies that emphasize prior Canadian experience are likely to improve the selection of immigrants to Canada.
In the first instance, we used the dataset to compare the neuronal and endothelial data, in order to demonstrate that the predicted differences between cell types could be detected using this methodology.
Experiments were performed with 14 datasets to compare against state-of-the-art active learning algorithms.
We use real world datasets to compare our method with other existing financial time series predictive methods.
Extensive experiments are conducted on real-world and synthetic datasets to compare the proposed algorithms with the greedy algorithms and other baseline heuristics.
The first application uses four different datasets to compare different experimental methods, normalizations, and gene sets.
Here, we report our efforts to take advantage of these datasets to compare transcription rate and steady-state mRNA abundance as measurements of functional relatedness.
