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cs.LG2020
Quasi-orthonormal Encoding for Machine Learning Applications
Haw-minn Lu
Most machine learning models, especially artificial neural networks, require numerical, not categorical data. We briefly describe the advantages and disadvantages of common encodin…
cs.LG2020★ 9 cited
Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback
Haw-minn Lu, Giancarlo Perrone, José Unpingco
Although data may be abundant, complete data is less so, due to missing columns or rows. This missingness undermines the performance of downstream data products that either omit in…