代码搜索：Multinomial

找到约 224 项符合「Multinomial」的源代码

代码结果 224
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/373249/9467815

m multinomial_sample.m

function Y = sample_cond_multinomial(X, M) % SAMPLE_MULTINOMIAL Sample Y(i) ~ M(X(i), :) % function Y = sample_multinomial(X, M) % % X(i) = i'th sample % M(i,j) = P(Y=j | X=i) = noisy channel mod
·
www.eeworm.com/read/164422/10108666

m multinomial_prob.m

function B = eval_pdf_cond_multinomial(data, obsmat) % EVAL_PDF_COND_MULTINOMIAL Evaluate pdf of conditional multinomial % function B = eval_pdf_cond_multinomial(data, obsmat) % % Notation: Y = obser
·
www.eeworm.com/read/164422/10108694

m multinomial_sample.m

function Y = sample_cond_multinomial(X, M) % SAMPLE_MULTINOMIAL Sample Y(i) ~ M(X(i), :) % function Y = sample_multinomial(X, M) % % X(i) = i'th sample % M(i,j) = P(Y=j | X=i) = noisy channel model %
·
www.eeworm.com/read/425546/10348610

m multinomial_prob.m

function B = eval_pdf_cond_multinomial(data, obsmat) % EVAL_PDF_COND_MULTINOMIAL Evaluate pdf of conditional multinomial % function B = eval_pdf_cond_multinomial(data, obsmat) % % Notation: Y = o
·
www.eeworm.com/read/349646/10808440

m multinomial_prob.m

function B = eval_pdf_cond_multinomial(data, obsmat) % EVAL_PDF_COND_MULTINOMIAL Evaluate pdf of conditional multinomial % function B = eval_pdf_cond_multinomial(data, obsmat) % % Notation: Y = o
·
www.eeworm.com/read/349646/10808460

m multinomial_sample.m

function Y = sample_cond_multinomial(X, M) % SAMPLE_MULTINOMIAL Sample Y(i) ~ M(X(i), :) % function Y = sample_multinomial(X, M) % % X(i) = i'th sample % M(i,j) = P(Y=j | X=i) = noisy channel mod
·
www.eeworm.com/read/349646/10808961

m multinomial_prob.m

function B = eval_pdf_cond_multinomial(data, obsmat) % EVAL_PDF_COND_MULTINOMIAL Evaluate pdf of conditional multinomial % function B = eval_pdf_cond_multinomial(data, obsmat) % % Notation: Y = o
·
www.eeworm.com/read/349646/10809012

m multinomial_sample.m

function Y = sample_cond_multinomial(X, M) % SAMPLE_MULTINOMIAL Sample Y(i) ~ M(X(i), :) % function Y = sample_multinomial(X, M) % % X(i) = i'th sample % M(i,j) = P(Y=j | X=i) = noisy channel mod
·
www.eeworm.com/read/469416/6976058

m multinomial_prob.m

function B = eval_pdf_cond_multinomial(data, obsmat) % EVAL_PDF_COND_MULTINOMIAL Evaluate pdf of conditional multinomial % function B = eval_pdf_cond_multinomial(data, obsmat) % % Notation: Y = o
·
www.eeworm.com/read/469416/6976075

m multinomial_sample.m

function Y = sample_cond_multinomial(X, M) % SAMPLE_MULTINOMIAL Sample Y(i) ~ M(X(i), :) % function Y = sample_multinomial(X, M) % % X(i) = i'th sample % M(i,j) = P(Y=j | X=i) = noisy channel mod
·