代码搜索：classification
找到约 3,679 项符合「classification」的源代码
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www.eeworm.com/read/441245/7673268
m getcost.m
%GETCOST Get classification cost matrix
%
% [COST,LABLIST] = GETCOST(W)
%
% Returns the classification cost matrix as set in the classifier W.
% An empty cost matrix is interpreted as equal costs for
www.eeworm.com/read/438780/7727102
m contents.m
% Support Vector Machine Toolbox - Steve Gunn
% Version 2.0-Aug-1998
%
% Support Vector Classification
%
% svc - Calculate support vectors for classification
% svcplot - Plot 2 dim
www.eeworm.com/read/437640/7744424
names abalone.names
1. Title of Database: Abalone data
2. Sources:
(a) Original owners of database:
Marine Resources Division
Marine Research Laboratories - Taroona
Department of Primary Industry and Fisheries, T
www.eeworm.com/read/437640/7744426
txt description.txt
1. Title of Database: Abalone data
2. Sources:
(a) Original owners of database:
Marine Resources Division
Marine Research Laboratories - Taroona
Department of Primary Industry and Fishe
www.eeworm.com/read/436837/7761965
m contents.m
% Support Vector Machine Toolbox
% Version 2.0-Aug-1998
%
% Support Vector Classification
%
% svc - Calculate support vectors for classification
% svcplot - Plot 2 dimensional clas
www.eeworm.com/read/436088/7777292
cs classifierperformance.cs
using System;
using System.Collections.Generic;
namespace FinanceAI.AI
{
// Result of the classification of a set of samples into categories
public class ClassifierPerformance
{
www.eeworm.com/read/199752/7824821
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
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/397106/8067611
m contents.m
% Classification GUI and toolbox
% Version 1.0
%
% Modified by Vittorio Castelli, 2002 (vittorio@ee.columbia.edu)
%
% The topmost box in the user interface selects between
% "Original Framework" an
www.eeworm.com/read/397102/8067984
m classd.m
%CLASSD Classify data using a given classifier
%
% labels = classd(D)
%
% Finds the labels of the classified dataset D (typically the result
% of a mapping or classification A*W). For each object