RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System
TimeTuesday, December 7th10:53am - 11:15am PST
Event Type
Research Manuscript
AI/ML System Design
DescriptionTo achieve real-time performance with high energy efficiency and robustness, we proposed RegHD, the first regression solution based on Hyperdimensional computing. RegHD redesigns a regression algorithm using strategies that more closely model the ultimate efficient learning machine: the human brain. RegHD creates two set of models: Input Model to cluster data points with high similarity, and Regression Model to generate a regression model for each clustered data. During prediction, RegHD computes the output value by the weighted accumulation of all regression models, considering the model confidence obtained during similarity search.