Replacing SVD in ELM with LU, Hessenberg, Schur, Gram-Schmidt or Householder decompositions speeds training on large EEG BCI data, with Hessenberg preferred for pace and Householder for accuracy.
Neu- rocomputing 72(1), 359–366 (2008) [1]
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On improving learning capability of ELM and an application to brain-computer interface
Replacing SVD in ELM with LU, Hessenberg, Schur, Gram-Schmidt or Householder decompositions speeds training on large EEG BCI data, with Hessenberg preferred for pace and Householder for accuracy.