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An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering
A fundamental task in machine learning involves visualizing high-dimensional data sets that arise in high-impact application domains.
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction
The first contribution is to propose a novel landmark selection method that promotes diversity using an efficient two-step approach.
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