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/360995/10070102
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/281192/10257735
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/280595/10311889
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/280595/10312380
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/159921/10588588
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/421949/10675960
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/421949/10677274
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/349725/10801999
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/411517/7089072
m fisher.m
function model = fisher(data)
% FLDQP Fisher Linear Discriminat using Quadratic Programming.
%
% Synopsis:
% model = fldqp( data )
%
% Description:
% This function computes the binary linear classif
www.eeworm.com/read/463442/7180789
rb bayes.rb
require 'rubygems'
require 'stemmer'
require 'classifier'
# Load previous classifications
funny = YAML::load_file('funny.yml')
not_funny = YAML::load_file('not_funny.yml')
# Create our