代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
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www.eeworm.com/read/213492/15133680
m knnrule.m
function model=knnrule(data,K)
% KNNRULE Creates K-nearest neighbours classifier.
%
% Synopsis:
% model=knnrule(data)
% model=knnrule(data,K)
%
% Description:
% It creates model of the K-nearest ne
www.eeworm.com/read/213492/15133811
m fldqp.m
function model = fldqp(data)
% FLDQP Fisher Linear Discriminat using Quadratic Programming.
%
% Synopsis:
% model = fldqp( data )
%
% Description:
% This function computes the binary linear classifi
www.eeworm.com/read/213240/15139976
m dd_setfn.m
function w = dd_setfn(w,a,thr)
%DD_SETFN Set the threshold to a specific FN rate
%
% W2 = DD_SETFN(W,A,THR)
%
% The data of classifier W is copied to classifier W2, only the
% threshold value is c
www.eeworm.com/read/213240/15140040
m multic.m
%MULTIC Make a multi-class classifier
%
% W = MULTIC(A,V)
%
% Train the (untrained!) one-class classifier V on each of the classes
% in A, and combine it to a multi-class classifier W. If an object
www.eeworm.com/read/213240/15140043
m is_occ.m
%IS_OCC True for one-class classifiers
%
% IS_OCC(W) returns true if the classifier W is a one-class classifier,
% outputting only classes 'target' and/or 'outlier' and having a
% structure with t
www.eeworm.com/read/207746/15263129
m contents.m
% OSU Support Vector Machines (SVMs) Toolbox
% version 3.00, Feb. 2002
%
% The core of this toolbox is based on Dr. Lin's Lib SVM version 2.33
% For more details, please see:
% http://www.csie.n
www.eeworm.com/read/471381/6892023
m adaboost.m
function [H,alpha]=AdaBoost(X,Y,C,T,WLearner)
% AdaBoost
% Train a strong classifier using several weak ones
%
% Input
% X - samples
% Y - label of samples -
% 1 - belong to
www.eeworm.com/read/367442/9748272
m contents.m
% Fisher`s classifier
%
% fishdemo - Demo on algorithms which find Fisher's classifier.
%
% Algorithms:
% fisherp - Modified Perceptron's lerning rule.
% fisherk - Modified Kozinec's algori
www.eeworm.com/read/367441/9748317
m contents.m
% OSU Support Vector Machines (SVMs) Toolbox
% version 3.00, Feb. 2002
%
% The core of this toolbox is based on Dr. Lin's Lib SVM version 2.33
% For more details, please see:
% http://www.csie.n
www.eeworm.com/read/413912/11137523
result dataexample2.txt.result
Processing Filename: demo\DataExample2.txt
Classifier:MCWithMultiFSet -Voting -Separator 1,120,121,150,154,225 -- IIS_classify -Iter 50
Message: Train-Test Split, Boundary: 100, Classification,
Err