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/441018/7677915
m u_lindemo.m
echo off
%LINDEMO demonstration for using linear SVM classifier.
echo on;
clc
%LINDEMO demonstration for using linear SVM classifier.
%#########################################################
www.eeworm.com/read/441018/7677916
m c_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%
www.eeworm.com/read/441018/7677930
m svmclass.m
function [Labels, DecisionValue]= SVMClass(Samples, AlphaY, SVs, Bias, Parameters, nSV, nLabel)
% Usages:
% [Labels, DecisionValue]= SVMClass(Samples, AlphaY, SVs, Bias);
% [Labels, DecisionValu
www.eeworm.com/read/436945/7758458
m contents.m
% Discriminant analysis toolbox.
% Version 0.3 99/04/30
% Copyright (C) 1999 Michael Kiefte.
% See the accompanying README file for information.
%
% Discriminant Analysis.
% lda - Linear discri
www.eeworm.com/read/436945/7758459
readme
This is version 0.3 of the "Discriminant Analysis Toolbox" with major
bug fixes from the first and second versions and with the addition of
logistic discriminant anlsyis and multinomial classification
www.eeworm.com/read/436088/7777267
cs predictorcontrol.cs
using System;
using System.IO;
using System.Collections.Generic;
using System.Data.Linq;
using System.Windows.Forms;
using FinanceAI.AI;
using FinanceAI.UI;
namespace FinanceAI.Predictor
www.eeworm.com/read/436088/7777289
cs iclassifier.cs
namespace FinanceAI.AI
{
public interface IClassifier
{
// Classify the given sample return the category and add it to the sample
string Classify( ISample sample );
www.eeworm.com/read/299459/7849027
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/299459/7850232
m contents.m
% Visualization for pattern recognition.
%
% pandr - Visualizes solution of the Generalized Anderson's task.
% pboundary - Plots decision boundary of given classifier in 2D.
% pgauss
www.eeworm.com/read/299459/7850269
m pandr.m
function varargout = pandr(model,distrib)
% PANDR Visualizes solution of the Generalized Anderson's task.
%
% Synopsis:
% h = pandr(model)
%
% Description:
% It vizualizes solution of the Gen