代码搜索:Patterns

找到约 8,017 项符合「Patterns」的源代码

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pat watch_2out.pat

SNNS pattern definition file V3.2 generated at Thu Apr 21 17:59:47 1994 by pnm2pat No. of patterns : 1 No. of input units : 1 No. of output units : 2 No. of variable input dimensions : 2 Maxim
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java simplemaster.java

package examples.simplemasterslave; import com.ibm.aglet.Aglet; import com.ibm.aglet.Message; import com.ibm.agletx.patterns.Slave; import java.awt.*; import java.io.PrintStream; import java.n
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m som_1d.m

function [W_out, p_out]=som_1d(P, nsofm, epochs, phas, W) % function W=som_1d(P, nsofm, lri, epochs, W) % % P - patterns % nsofm - number of neurons % epochs - number of epochs to trai
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m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a polynomial kernel, for example % % K = evaluate(kernel, x1, x2); % % where x1 and x2 are matrices containing input patterns, wh
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cfg threads.cfg

PROJECT_NAME = "Threads library" PROJECT_NUMBER = 3.0 INPUT = ../threads FILE_PATTERNS = thread.h mutex.h cond.h semaphore.h spinlock.h io.h \ buffer.h excep
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c fnd.c

/* ** fnd.c -- find patterns in text file ** ** Copyright 1982 J. E. Hendrix. All rights reserved. */ #include #include "tools.h" #define NOCCARGC #define MAXARG 49 #define MAXLIN1
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m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a linear kernel, for example % % K = evaluate(ker, x1, x2); % % where x1 and x2 are matrices containing input patterns, where ea
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m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a linear kernel, for example % % K = evaluate(ker, x1, x2); % % where x1 and x2 are matrices containing input patterns, where ea
www.eeworm.com/read/183443/9158970

m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a linear kernel, for example % % K = evaluate(ker, x1, x2); % % where x1 and x2 are matrices containing input patterns, where ea
www.eeworm.com/read/181389/9256556

m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a linear kernel, for example % % K = evaluate(ker, x1, x2); % % where x1 and x2 are matrices containing input patterns, where ea