首页|New Machine Learning Findings from University of Massachusetts Discussed (Manifo ldron: Direct Space Partition Via Manifold Discovery)
New Machine Learning Findings from University of Massachusetts Discussed (Manifo ldron: Direct Space Partition Via Manifold Discovery)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Lowell, Massachusetts, by NewsRx editors, research stated, “A neural network (NN) withthe widely-used ReLU activation has been shown to partition the sample space into many convex p olytopesfor prediction. However, the parametric way a NN and other machine lear ning models use to partitionthe space has imperfections, e.g., the compromised interpretability for complex models, the inflexibility indecision boundary cons truction due to the generic character of the model, and the risk of being trappe dinto shortcut solutions.”
LowellMassachusettsUnited StatesNo rth and Central AmericaCyborgsEmerging TechnologiesMachine LearningRisk and PreventionUniversity of Massachusetts
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