代码搜索:dirichlet
找到约 330 项符合「dirichlet」的源代码
代码结果 330
www.eeworm.com/read/379345/2674545
at laplace-dirichlet-p2.at
# This file is part of ff3d - http://www.freefem.org/ff3d
# Copyright (C) 2005 Stephane Del Pino
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU
www.eeworm.com/read/379345/2674563
at laplace-dirichlet-p1.at
# This file is part of ff3d - http://www.freefem.org/ff3d
# Copyright (C) 2005 Stephane Del Pino
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU
www.eeworm.com/read/379345/2674573
at laplace-dirichlet-p2.at
# This file is part of ff3d - http://www.freefem.org/ff3d
# Copyright (C) 2005 Stephane Del Pino
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU
www.eeworm.com/read/379345/2674534
at laplace-dirichlet-cartesian-q2.at
# This file is part of ff3d - http://www.freefem.org/ff3d
# Copyright (C) 2005 Stephane Del Pino
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU
www.eeworm.com/read/379345/2674540
at laplace-dirichlet-cartesian-q1.at
# This file is part of ff3d - http://www.freefem.org/ff3d
# Copyright (C) 2005 Stephane Del Pino
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU
www.eeworm.com/read/379345/2674564
at laplace-dirichlet-cartesian-q2.at
# This file is part of ff3d - http://www.freefem.org/ff3d
# Copyright (C) 2005 Stephane Del Pino
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU
www.eeworm.com/read/379345/2674569
at laplace-dirichlet-cartesian-q1.at
# This file is part of ff3d - http://www.freefem.org/ff3d
# Copyright (C) 2005 Stephane Del Pino
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU
www.eeworm.com/read/150225/12304180
version
What's new in version 4.x:
VERSION 4.1
1. estimates the HMM in Variational Bayes framework.
2. The observation models included so far Gaussian, Poisson and Dirichlet
3: requires parameter priors
www.eeworm.com/read/362337/10003448
m lda_f.m
function [F, E] = LDA_F(data, model, gammas, options)
E = sum( data.*log( eps + model.beta.ex * gammas.ex ),1) ;
if ~options.var_gamma
E = E + log_dirichlet( gammas.el , model.alpha );
else
www.eeworm.com/read/140847/5779280
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c