代码搜索：Multinomial

找到约 224 项符合「Multinomial」的源代码

代码结果 224
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xls multinomial.xls

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c multinomial.c

/* randist/multinomial.c * * Copyright (C) 2002 Gavin E. Crooks * * This program is free software; you can redistribute it and/or modify * it under the terms of the G
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xls multinomial.xls

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java multinomial.java

/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet Th
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java multinomial.java

/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet Th
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c multinomial.c

/* randist/multinomial.c * * Copyright (C) 2002 Gavin E. Crooks * * This program is free software; you can redistribute it and/or modify * it under the terms of the G
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c multinomial.c

/* randist/multinomial.c * * Copyright (C) 2002 Gavin E. Crooks * * This program is free software; you can redistribute it and/or modify * it under the terms of the G
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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
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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
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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
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