代码搜索：evaluate

找到约 3,619 项符合「evaluate」的源代码

代码结果 3,619
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www.eeworm.com/read/101082/6244895

1 expr.1

.\" SCCSID: @(#)expr.1 8.1 9/11/90 .\" SCCSID: @(#)expr.1 8.1 9/11/90 .TH expr 1 .SH Name expr \- evaluate expressions .SH Syntax .B expr \fIarg\fR... .SH Description .NXR "expr command" .NXR "expres
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www.eeworm.com/read/101082/6246765

1 expr.1

.\" SCCSID: @(#)expr.1 8.1 9/11/90 .\" SCCSID: @(#)expr.1 8.1 9/11/90 .TH expr 1 .SH Name expr \- evaluate expressions .SH Syntax .B expr \fIarg\fR... .SH Description .NXR "expr command" .NXR "expres
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www.eeworm.com/read/478816/6703755

java evaluation.java

/*作者：徐朝*/ /*keystonexu@yahoo.com.cn*/ package regression.function; import kernel.*; /** * 这个类有曲线的测试样例，以及适应度评价函数，以及终止条件 */ public class Evaluation implements Evaluate { int NrOfFitnessCas
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www.eeworm.com/read/263879/11338184

m fquad.m

function[val,g] = fquad(x,c,H,mtxmpy,data,D) %FQUAD Evaluate quadratic function. % val = FQUAD(x,c,H,mtxmpy,data,D) evaluates the quadratic % function val = c'*x + .5*x'*D*MTX*D*x, where % D i
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www.eeworm.com/read/403922/11499610

html function.xptr-eval.html

Evaluate the XPtr Location Path in the given string
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www.eeworm.com/read/403922/11504938

html function.imagick-fximage.html

Evaluate expression for each pixel in the image
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www.eeworm.com/read/158037/11648158

m mixgauss_prob.m

function [B, B2] = mixgauss_prob(data, mu, Sigma, mixmat, unit_norm) % EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians % function [B, B2] = eval_pdf_cond_mog(data, mu, Sigma
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www.eeworm.com/read/158037/11648252

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Min
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www.eeworm.com/read/259241/11812411

m mixgauss_prob.m

function [B, B2] = mixgauss_prob(data, mu, Sigma, mixmat, unit_norm) % EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians % function [B, B2] = eval_pdf_cond_mog(data, mu, Sigma,
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www.eeworm.com/read/259241/11812542

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Minka,
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