Generalized Radial Basis Functions were used to construct networks
that learn input-output mappings from given data. They are
developed out of a theoretical framework for approximation based
on regularization techniques and represent a class of three-layer
networks similar to backpropagation networks with one hidden
layer.
A network using Gaussian base...
Distance-based algorithms are machine learning algorithms that classify queries
by computing distances between these queries and a number of internally stored
exemplars. Exemplars that are closest to the query have the largest in
uence on
the classi cation assigned to the query. Two speci c distance-based algorithms, the
nearest neighbor...