A=LMS(H) returns a lms object initialized with hyperparameters H.
Hyperparameters, and their defaults
ridge=1e-13; -- a ridge on the kernel
indices = [] -- indices of a reduced set of centers to be used
for learning. ([] means use all training set)
balanced_ridge=0; -- for unbalanced data
child=kernel; -- the kernel is stored as a member called "child"
use_b=1 -- find a threshold, otherwise fix to 0
Model
alpha -- the weights
b0 -- the threshold
X -- the set of centers
Methods:
train, test, get_w
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Reference : chapter 5 (Richard O. Duda and Peter E. Hart) Parzen Windows |
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Author : Richard O. Duda , Peter E. Hart |