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www.eeworm.com/read/441609/7668390
m cp0201_bits.m
%
% FUNCTION 2.1 : "cp0201_bits"
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% Generates a stream of equiprobable binary values ('bits')
% The number of bits ('numbits') is an input parameter
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% Programmed by Guerino Giancola
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fun
www.eeworm.com/read/441609/7668411
m cp0201_bits.m
%
% FUNCTION 2.1 : "cp0201_bits"
%
% Generates a stream of equiprobable binary values ('bits')
% The number of bits ('numbits') is an input parameter
%
% Programmed by Guerino Giancola
%
fun
www.eeworm.com/read/441245/7672641
m ridger.m
%RIDGER Ridge Regression
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% W = RIDGER(X,LAMBDA)
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% INPUT
% X Regression dataset
% LAMBDA Regularization parameter (default LAMBDA=1)
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% OUTPUT
% W Ridge regression mappin
www.eeworm.com/read/441245/7672743
m ksmoothr.m
%KSMOOTHR Kernel smoother
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% W = KSMOOTHR(X,H)
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% INPUT
% X Regression dataset
% H Width parameter (default H=1)
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% OUTPUT
% W Kernel smoother mapping
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% DESCRIPTION
% Train a
www.eeworm.com/read/441245/7672991
m parzenml3.m
%PARZENML Optimum smoothing parameter in Parzen density estimation.
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% H = PARZENML(A,FID)
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% INPUT
% A input dataset
% FID File ID to write progress to (default [], see PRPROGRESS)
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%
www.eeworm.com/read/441245/7673006
m parzenml.m
%PARZENML Optimum smoothing parameter in Parzen density estimation.
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% H = PARZENML(A)
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% INPUT
% A Input dataset
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% OUTPUT
% H Scalar smoothing parameter (in case of crisp labels)
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www.eeworm.com/read/441245/7673163
m get.m
%GET Get datafile parameter fields
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% [VALUE1,VALUE2,...] = GET(A,FIELD1,FIELD2,...)
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% INPUT
% A Datafile
% FIELDx Field names (strings)
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% OUTPUT
% VALUEx Field values
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% SEE A
www.eeworm.com/read/441245/7673258
m lassor.m
%LASSOR LASSO regression
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% W = LASSOR(X,LAMBDA)
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% INPUT
% X Regression dataset
% LAMBDA Regularization parameter
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% OUTPUT
% W LASSO regression mapping
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% DESCRIPTION
% Th
www.eeworm.com/read/441245/7673406
m sigm.m
%SIGM Sigmoid map
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% W = W*SIGM
% B = A*SIGM
% W = W*SIGM([],SCALE)
% B = SIGM(A,SCALE)
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% INPUT
% A Dataset (optional)
% SCALE Scaling parameter (optional, default: 1)
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%