代码搜索:classifier
找到约 4,824 项符合「classifier」的源代码
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www.eeworm.com/read/312163/13617450
m weaklearner_fast.m
function model = weaklearner_fast(data)
% WEAKLEARNER Produce classifier thresholding single feature.
%
% Synopsis:
% model = weaklearner(data)
%
% Description:
% This function produce a weak binary
www.eeworm.com/read/312163/13617459
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/312163/13617564
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/128684/5980303
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/493294/6400459
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/493294/6400502
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/492400/6422249
m contents.m
% Data Description Toolbox
% Version 1.6.1 14-Aug-2007
%
%Dataset construction
%--------------------
%isocset true if dataset is one-class dataset
%gendatoc generate a one-class dataset f
www.eeworm.com/read/483891/6597164
makefile
# Compiler
CC = gcc
# Flags
#OPTFLAGS = -march=i686 -mcpu=i686 -malign-double -funroll-loops -O3
OPTFLAGS = -O3
CFLAGS = $(OPTFLAGS)
# Libraries
L_ARCH = $(ARCH)
LIB_NAME = d-$(L_ARCH).a
F2C =