代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
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www.eeworm.com/read/152129/12138201
m classif.m
function classification = classif(Ytrain, Ytest)
% classification = classify(Ytrain, Ytest)
%
% Given the train matrix Ytrain and the test matrix Ytest,
% this function returs a vector classificat
www.eeworm.com/read/199528/5076118
java classifierfactory.java
package edu.stanford.nlp.classify;
import java.util.*;
/** @author Dan Klein */
public interface ClassifierFactory {
Classifier trainClassifier(List examples);
}
www.eeworm.com/read/293183/8310756
m classim.m
%CLASSIM Classify image using a given classifier
%
% labels = classim(D,N)
%
% Returns an image with the labels of the classified datasetimage D
% (typically the result of a mapping or classificat
www.eeworm.com/read/146984/12596419
m knnclassification.m
function result = knnclassification(testsamplesX,samplesX, samplesY, Knn,type)
% Classify using the Nearest neighbor algorithm
% Inputs:
% samplesX - Train samples
% samplesY - Train labe
www.eeworm.com/read/188848/8510938
m u_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/188848/8510949
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/289509/8547003
m mass_spec_demo.m
%% Mass Spectrometry Data Analysis Demonstration
%
% Robert Henson and Lucio Cetto, The MathWorks, Inc.
%
% This example demonstrates a number of ways to classify mass spectrometry
% data and sho
www.eeworm.com/read/431675/8661703
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
www.eeworm.com/read/286662/8751996
m marginalization.m
function [targets, P] = Marginalization(patterns, targets, params, plot_on)
% Classify data with missing features using the marginal distribution
%
% Inputs:
% patterns - Input patterns
% t
www.eeworm.com/read/286180/8784170
m u_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
%