New Findings from Carnegie Mellon University in the Area of Machine Learning Des cribed (Expediting Structure-property Analyses Using Variational Autoencoders Wi th Regression)
New Findings from Carnegie Mellon University in the Area of Machine Learning Des cribed (Expediting Structure-property Analyses Using Variational Autoencoders Wi th Regression)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Pittsburgh, Pennsylvania, by NewsRx journalists, research stated, “We present a machine learning approach tha t expedites structure-property analysis in materials, bypassing traditional feat ure extraction and exploratory data analysis techniques. This objective is accom plished by employing a variational autoencoder (VAE) structure that is modified to include a regressor network for property prediction (VAERegression).”
Key words
Pittsburgh/Pennsylvania/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Ca rnegie Mellon University
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