代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
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www.eeworm.com/read/455708/7368055
txt readme.txt
========================================================================
MICROSOFT FOUNDATION CLASS LIBRARY : classify
========================================================================
www.eeworm.com/read/189194/8485800
news
Look ma: -*- text -*-
The NEWS and TODO list for ``fcluster'':
Dec 1998 (timm)
* version 1.2g
* some small corrections
Thu Jan 18 17:33:52 MET 1996 (schoenfr)
* Version 1.2f wrapped.
* D
www.eeworm.com/read/306180/13750197
txt readme.txt
========================================================================
MICROSOFT FOUNDATION CLASS LIBRARY : classify
========================================================================
www.eeworm.com/read/131090/14161559
news
Look ma: -*- text -*-
The NEWS and TODO list for ``fcluster'':
Dec 1998 (timm)
* version 1.2g
* some small corrections
Thu Jan 18 17:33:52 MET 1996 (schoenfr)
* Version 1.2f wrapped.
* D
www.eeworm.com/read/209030/15228945
news
Look ma: -*- text -*-
The NEWS and TODO list for ``fcluster'':
Dec 1998 (timm)
* version 1.2g
* some small corrections
Thu Jan 18 17:33:52 MET 1996 (schoenfr)
* Version 1.2f wrapped.
* D
www.eeworm.com/read/167185/5463778
diff man.diff
.\" Copyright (c) 1987 Entropic Speech, Inc. All rights reserved.
.\" @(#)classify.1 3.9 4/2/97 ESI
.TH CLASSIFY 1\-ESPS 4/2/97
.ds ]W "\fI\s+4\ze\h'0.05'e\s-4\v'-0.4m'\fP\(*p\v'0.4m'\ Entropic Spee
www.eeworm.com/read/113670/15451492
news
Look ma: -*- text -*-
The NEWS and TODO list for ``fcluster'':
Dec 1998 (timm)
* version 1.2g
* some small corrections
Thu Jan 18 17:33:52 MET 1996 (schoenfr)
* Version 1.2f wrapped.
* D
www.eeworm.com/read/191902/8417072
m classification_error.m
function [classify, err] = classification_error(D, features, targets, region)
%Find a classification error for a given decision surface D and a given set of
%features (2xL) and targets (1xL)
%The
www.eeworm.com/read/286662/8751666
m classification_error.m
function [classify, err] = classification_error(D, patterns, targets, region)
%Find a classification error for a given decision surface D and a given set of
%patterns (2xL) and targets (1xL)
%The
www.eeworm.com/read/177129/9468761
m classification_error.m
function [classify, err] = classification_error(D, features, targets, region)
%Find a classification error for a given decision surface D and a given set of
%features (2xL) and targets (1xL)
%The