首页|Reports Summarize Machine Learning Study Results from Heriot- Watt University (A Variational Autoencoder for Minimallysupervised Pulse Shape Discrimination)
Reports Summarize Machine Learning Study Results from Heriot- Watt University (A Variational Autoencoder for Minimallysupervised Pulse Shape Discrimination)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Edinburgh, Uni ted Kingdom, by NewsRx editors, research stated, “We propose anovel approach ba sed on variational autoencoder with Gaussian mixture latent space (GMVAE) to address the challenging problem of pulse shape discrimination (PSD) in organic scin tillators, in the presenceof pile up. Unlike deterministic charge integration, which is very sensitive to pulse -processing parameters,the GMVAE performances are robust against variations of the hyperparameters.”
EdinburghUnited KingdomEuropeCybor gsEmerging TechnologiesMachine LearningHeriot-Watt University
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