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📁 上载文件为Matlab环境下的高斯以马尔科夫模型例程
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%% (c) MERL 2001.  Distributed for research -- see source code for termsof use.% Citation:% Brand, Matthew. (1999).  Structure learning in conditional probability% models via an entropic prior and parameter extinction.  % Neural Computation, 11(5), pp. 1155-1182. Copyright 2001 Mitsubishi Electric Research Laboratories.  All RightsReserved.Permission to use, copy, modify and distribute this software and itsdocumentation for educational, research and non-profit purposes, withoutfee, and without a written agreement is hereby granted, provided thatthe above copyright notice and the following three paragraphs appear inall copies.To request Permission to incorporate this software into commercialproducts contact MERL - Mitsubishi Electric Research Laboratories, 201Broadway, Cambridge, MA 02139.IN NO EVENT SHALL MERL BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT,SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS,ARISING OUT OF     THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVENIF MERL HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.MERL SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITEDTO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR APARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS ON AN "AS IS"BASIS, AND MERL HAS NO OBLIGATIONS TO PROVIDE MAINTENANCE, SUPPORT,UPDATES, ENHANCEMENTS, OR MODIFICATIONS.Author:Matthew Brandhttp://www.merl.com/people/brand

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