Glossary

Term	Meaning
ELM	Extreme Learning Machine, a single hidden-layer network with random features and analytic output solve
OS-ELM	Online Sequential ELM, an ELM updated chunk by chunk
ReOS-ELM	Regularized OS-ELM with covariance regularization
FOS-ELM	Forgetting OS-ELM with a forgetting factor
OS-CELM	Constrained OS-ELM with class-distance constraint
ELM-AE	ELM autoencoder used as a learned feature map
ML-ELM	Multilayer ELM using stacked ELM-AE features and a batch ridge head
H-OS-ELM	Hierarchical OS-ELM using stacked ELM-AE features and an online RLS head
FeatureMap	Interface for transforming input matrices into feature matrices
Solver	Strategy for learning output weights from features and targets
Backend	CPU or GPU execution target
Ridge alpha	Positive regularization added to least-squares normal systems
Forgetting factor	RLS multiplier that down-weights stale online data
RBF	Radial Basis Function feature using Euclidean distance to centers