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/150760/12265390

html fldqp.html

fldqp.m
www.eeworm.com/read/150760/12265393

html fld.html

fld.m
www.eeworm.com/read/150760/12265827

m weaklearner.m

function model = weaklearner(data) % WEAKLEARNER Produce classifier thresholding single feature. % % Synopsis: % model = weaklearner(data) % % Description: % This function produce a weak binary clas
www.eeworm.com/read/150760/12266116

m linclass.m

function [y,dfce]=linclass( X, model) % LINCLASS Linear classifier. % % Synopsis: % [y,dfce] = linclass( X, model) % % Description: % This function classifies input data X using linear % discrimina
www.eeworm.com/read/149739/12353901

m logdens.m

%LOGDENS Force density based classifiers to use log-densities % % V = LOGDENS(W) % V = W*LOGDENS % % INPUT % W Density based trained classifier % % OUTPUT % V Log-density based tr
www.eeworm.com/read/149739/12354014

m fisherc.m

%FISHERC Fisher's Least Square Linear Classifier % % W = FISHERC(A) % % INPUT % A Dataset % % OUTPUT % W Fisher's linear classifier % % DESCRIPTION % Finds the linear discriminant functio
www.eeworm.com/read/131815/14123367

m osusvmdemo.m

% ------- OSU SVM CLASSIFIER TOOLBOX Demonstrations--- % % 1) Demonstrations of using C-SVM Classifers. % 2) Demonstrations of using u-SVM Classifiers % 3) Demonstration
www.eeworm.com/read/130490/14189979

c naivebayesbin.c

/* Copyright (C) 2001-2002 Mikael Ylikoski * See the accompanying file "README" for the full copyright notice */ /** * @file * Binary Naive Bayes learning algorithm. * * Should be used with tf v
www.eeworm.com/read/130490/14190049

c combiner.c

/* Copyright (C) 2002, 2003 Mikael Ylikoski * See the accompanying file "README" for the full copyright notice */ /** * Combination classifier. * * Takes classification results from other classif
www.eeworm.com/read/130490/14190296

c multi_pair.c

/* Copyright (C) 2001-2002 Mikael Ylikoski * See the accompanying file "README" for the full copyright notice */ /** * @file * Pairwise multi class classification. * * This file implements PAIR_