BoostHD partitions hyperdimensional space into weak-learner subspaces and boosts them, reporting 98.37% accuracy on WESAD stress detection, though its theoretical justification is flawed.
Algorithm-hardware co-design for efficient brain-inspired hyperdimensional learning on edge. in 2022 design, automation & test in europe conference & exhibition (date),
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare
BoostHD partitions hyperdimensional space into weak-learner subspaces and boosts them, reporting 98.37% accuracy on WESAD stress detection, though its theoretical justification is flawed.