代码搜索：Labeled
找到约 414 项符合「Labeled」的源代码
代码结果 414
www.eeworm.com/read/441245/7673012
m cdats.m
%CDATS Support routine for checking datasets
%
% [B,C,LABLIST,P] = CDATS(A,REDUCE)
%
% INPUT
% A Dataset or double
% REDUCE 0/1, Reduce A to labeled samples (1) or not (0, default),
www.eeworm.com/read/299459/7849899
m mergesets.m
function mergesets( DirName, OutputFile )
% MERGESETS Merges data sets to one labeled data file.
%
% Synopsis:
% mergesets(DirName,OutputFile)
%
% Description:
% It loads data files from give
www.eeworm.com/read/397102/8067978
m pca.m
%PCA Principal Component Analysis
%
% [W,alf] = pca(A,n)
% [W,n] = pca(A,alf)
%
% A principal component analysis is performed on the joint
% covarianve matrix of the data in A. If A is a labeled da
www.eeworm.com/read/137160/13342253
m cdats.m
%CDATS Support routine for checking datasets
%
% [B,C,LABLIST,P] = CDATS(A,REDUCE)
%
% INPUT
% A Dataset or double
% REDUCE 0/1, Reduce A to labeled samples (1) or not (0, default),
www.eeworm.com/read/314653/13562511
m cdats.m
%CDATS Support routine for checking datasets
%
% [B,C,LABLIST,P] = CDATS(A,REDUCE)
%
% INPUT
% A Dataset or double
% REDUCE 0/1, Reduce A to labeled samples (1) or not (0, default),
www.eeworm.com/read/312163/13617313
m mergesets.m
function mergesets( DirName, OutputFile )
% MERGESETS Merges data sets to one labeled data file.
%
% Synopsis:
% mergesets(DirName,OutputFile)
%
% Description:
% It loads data files from give
www.eeworm.com/read/493294/6400244
m cdats.m
%CDATS Support routine for checking datasets
%
% [B,C,LABLIST,P] = CDATS(A,REDUCE)
%
% INPUT
% A Dataset or double
% REDUCE 0/1, Reduce A to labeled samples (1) or not (0, default),
www.eeworm.com/read/486842/6530675
c emsimple.c
/* A simple implementation of using EM to estimate naive Bayes
parameters from labeled and unlabeled documents */
/* Copyright (C) 1997, 1998, 1999 Andrew McCallum
Written by: Kamal Nigam
www.eeworm.com/read/400577/11572976
m cdats.m
%CDATS Support routine for checking datasets
%
% [B,C,LABLIST,P] = CDATS(A,REDUCE)
%
% INPUT
% A Dataset or double
% REDUCE 0/1, Reduce A to labeled samples (1) or not (0, default),
www.eeworm.com/read/342008/12046772
m pca.m
%PCA Principal Component Analysis
%
% [W,alf] = pca(A,n)
% [W,n] = pca(A,alf)
%
% A principal component analysis is performed on the joint
% covarianve matrix of the data in A. If A is a labeled da