代码搜索:classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
www.eeworm.com/read/138798/13211448
m mixgauss_classifier_apply.m
function [classHatTest, probPos] = mixgauss_classifier_apply(mixgauss, testFeatures)
Bpos = mixgauss_prob(testFeatures, mixgauss.pos.mu, mixgauss.pos.Sigma, mixgauss.pos.prior);
Bneg = mixgauss_pr
www.eeworm.com/read/138798/13211480
m mixgauss_classifier_train.m
function mixgauss = mixgauss_classifier_train(trainFeatures, trainLabels, nc, varargin)
% function mixgauss = mixgauss_classifier_train(trainFeatures, trainLabels, nclusters, varargin)
% trainFeatur
www.eeworm.com/read/152629/5672784
java classifier2info.java
/* Copyright (C) 2003 Univ. of Massachusetts Amherst, Computer Science Dept.
This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit).
http://www.cs.umass.edu/~mccallum/mallet
Th
www.eeworm.com/read/265058/11284357
h classifier-addr-mpls.h
// -*- Mode:C++; c-basic-offset:8; tab-width:8; indent-tabs-mode:t -*-
/*
* classifier-addr-mpls.h
* Copyright (C) 2000 by the University of Southern California
* $Id: classifier-addr-mpls.h,v 1.5
www.eeworm.com/read/265058/11284360
cc classifier-addr-mpls.cc
// -*- Mode:C++; c-basic-offset:8; tab-width:8; indent-tabs-mode:t -*-
/*
* classifier-addr-mpls.cc
* Copyright (C) 2000 by the University of Southern California
* $Id: classifier-addr-mpls.cc,v 1
www.eeworm.com/read/158037/11648237
m mixgauss_classifier_apply.m
function [classHatTest, probPos] = mixgauss_classifier_apply(mixgauss, testFeatures)
Bpos = mixgauss_prob(testFeatures, mixgauss.pos.mu, mixgauss.pos.Sigma, mixgauss.pos.prior);
Bneg = mixgauss_pr
www.eeworm.com/read/158037/11648285
m mixgauss_classifier_train.m
function mixgauss = mixgauss_classifier_train(trainFeatures, trainLabels, nc, varargin)
% function mixgauss = mixgauss_classifier_train(trainFeatures, trainLabels, nclusters, varargin)
% trainFeatur
www.eeworm.com/read/259241/11812384
m# #mixgauss_classifier_train.m#
function mixgauss = mixgauss_classifier_train(trainFeatures, trainLabels, nc, varargin)
% function mixgauss = mixgauss_classifier_train(trainFeatures, trainLabels, nclusters, varargin)
% trainFeatures
www.eeworm.com/read/259241/11812528
m mixgauss_classifier_apply.m
function [classHatTest, probPos] = mixgauss_classifier_apply(mixgauss, testFeatures)
Bpos = mixgauss_prob(testFeatures, mixgauss.pos.mu, mixgauss.pos.Sigma, mixgauss.pos.prior);
Bneg = mixgauss_pr
www.eeworm.com/read/259241/11812579
m mixgauss_classifier_train.m
function mixgauss = mixgauss_classifier_train(trainFeatures, trainLabels, nc, varargin)
% function mixgauss = mixgauss_classifier_train(trainFeatures, trainLabels, nclusters, varargin)
% trainFeatur