首页|Recent Studies from Emory University Add New Data to Neural Computation (Data Ef ficiency, Dimensionality Reduction, and the Generalized Symmetric Information Bo ttleneck)
Recent Studies from Emory University Add New Data to Neural Computation (Data Ef ficiency, Dimensionality Reduction, and the Generalized Symmetric Information Bo ttleneck)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on neural computation are p resented in a new report. According to news reporting from Emory University by N ewsRx journalists, research stated, “The symmetric information bottleneck (SIB), an extension of the more familiar information bottleneck, is a dimensionality-r eduction technique that simultaneously compresses two random variables to preser ve information between their compressed versions.”
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