代码搜索:pattern

找到约 10,000 项符合「pattern」的源代码

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www.eeworm.com/read/440460/7689024

m plotbppats.m

function PlotBpPats(P,D) % PLOTPATS Plots the training patterns defined by Patterns and Desired. % % P - MxN matrix with N patterns of length M. % The first two values in each pattern a
www.eeworm.com/read/440331/7690507

asp char.asp

www.eeworm.com/read/438909/7724670

m displaytrack.m

function DisplayTrack(port) % DISPLAYTRACK Display track log data from GPS on the given serial port % A program that uses the serial port follows a five-part pattern: % 1. Create a serial port o
www.eeworm.com/read/399996/7816606

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/299459/7849883

pl references.pl

{ "Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two multivariate normal distributions with differrentia covariance matrices. Anals of Mathematical Statistics, 33:420--431, Ju
www.eeworm.com/read/297233/8042269

c combine.c

/* Optimize by combining instructions for GNU compiler. Copyright (C) 1987, 88, 92-97, 1998 Free Software Foundation, Inc. This file is part of GNU CC. GNU CC is free software; you can redistribu
www.eeworm.com/read/397099/8068743

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/296045/8126929

rules sample.rules

# $Id$ # # Sample rule file for the -m (remapping option) # # This file has three fields: operation, regex, remapping # # The operation is a combination of the following letters: # # r - rewrite the m
www.eeworm.com/read/247365/12662871

php patternarea.php

www.eeworm.com/read/245941/12770759

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