代码搜索：selection
找到约 9,869 项符合「selection」的源代码
代码结果 9,869
www.eeworm.com/read/372312/9513985
rtf simulation hop selection.rtf
www.eeworm.com/read/372113/9521157
m sequential_feature_selection.m
function [patterns, targets, pattern_numbers] = Sequential_Feature_Selection(patterns, targets, params)
% Perform sequential feature selection
%
% Inputs:
% train_patterns - Input patterns
% tr
www.eeworm.com/read/372113/9521159
m information_based_selection.m
function [patterns, targets, remaining_patterns] = Information_based_selection(patterns, targets, Npatterns)
% Koller and Sawami algorithm for pattern selection
%
% train_patterns - Input pattern
www.eeworm.com/read/372113/9521230
m feature_selection_commands.m
function feature_selection_commands(command)
%This function deals with commands generated by the feature selection module
persistent methods;
if isempty(methods)
methods = read_algorithms('
www.eeworm.com/read/372113/9521272
m exhaustive_feature_selection.m
function [patterns, targets, pattern_numbers] = Exhaustive_Feature_Selection(patterns, targets, params)
% Perform exhaustive (Brute-force) feature selection
%
% Inputs:
% train_patterns - Input
www.eeworm.com/read/366563/9809138
mht disk drive selection.mht
From:
Subject: Homemade USB 2 Harddrive MP3 Player Disk Drive Selection
Date: Wed, 6 Oct 2004 12:34:49 +0800
MIME-Version: 1.0
Content-Type: multipart/related;
www.eeworm.com/read/169034/9884962
class left_treepane_selection.class
www.eeworm.com/read/167001/9986451
c default_selection_criterion.c
/* *
* $Id: default_selection_criterion.c 2 2004-06-08 15:08:53Z mancho $
*
* This file is part of Fenice
*
* Fenice -- Open Media Server
*
* Copyright (C) 2004 by
*
* - Giampaolo M
www.eeworm.com/read/362008/10023911
m feature_selection_commands.m
function feature_selection_commands(command)
%This function deals with commands generated by the feature selection module
persistent methods;
if isempty(methods)
methods = read_algorithms('
www.eeworm.com/read/357874/10199094
m sequential_feature_selection.m
function [patterns, targets, pattern_numbers] = Sequential_Feature_Selection(patterns, targets, params)
% Perform sequential feature selection
%
% Inputs:
% train_patterns - Input patterns
% tr