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/415313/11076989
m mcactivelearning.m
% MCActiveLearning: implementation for active learning meta-classifier
%
% Parameters:
% para: parameters
% 1. Iter: iteration, default: 10
% 2. IncSize: data size per increment, default: 10
www.eeworm.com/read/413912/11137222
m demknn1.m
%DEMKNN1 Demonstrate nearest neighbour classifier.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distributions with prio
www.eeworm.com/read/411674/11233647
m quadclass.m
function [y,dfce]=quadclass( X, model)
% QUADCLASS Quadratic classifier.
%
% Synopsis:
% [y,dfce] = quadclass(X,model)
%
% Description:
% This function classifies input data X using quadratic
% dis
www.eeworm.com/read/411674/11233841
m redquadh.m
function red_model = redquadh(model)
% REDQUADH reduced SVM classifier with homogeneous quadratic kernel.
%
% Synopsis:
% red_model = redquadh(model)
%
% Description:
% It uses reduced set techique
www.eeworm.com/read/411674/11233877
m tune_ocr.m
% TUNE_OCR Tunes SVM classifier for OCR problem.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Multi-class SVM is
www.eeworm.com/read/204456/15339262
m dlpdd.m
function W = dlpdd(x,nu,usematlab)
%DLPDD Distance Linear Programming Data Description
%
% W = DLPDD(D,NU)
%
% This one-class classifier works directly on the distance (dissimilarity)
% matrix
www.eeworm.com/read/111603/15509317
m train.m
function net = train(net, tutor, varargin)
% TRAIN
%
% Train a support vector classifier network using the specified tutor.
%
% load data/iris x y;
%
% C = 100;
% kernel = r
www.eeworm.com/read/302160/13840806
h resource.h
//{{NO_DEPENDENCIES}}
// Microsoft Developer Studio generated include file.
// Used by TextClassify.rc
//
#define sdf 0
#define IDD_ABOUTBOX 100
#d
www.eeworm.com/read/289336/8558587
m~ contents.m~
% Linear classifier based on the Fisher linear discriminat.
%
% fldqp - Computes Fisher's Linear Discriminat using QP.
% lfld - Learns Fisher's Linear Discriminat.
%
% About: Statistical Patt
www.eeworm.com/read/286662/8751883
m click_points.m
function [patterns, targets, params, region] = click_points(region)
%Manually enter points into the workspace
ax = region(1:4);
h = findobj(findobj('Tag','classifier_GUI'),'Tag','txtNumberPo