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	<title>评论：贝叶斯模型文献阅读指南</title>
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	<link>http://www.52nlp.cn/bayesian-modeling-for-language-tutorial-reading</link>
	<description>I Love Natural Language Processing</description>
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		<title>来自：52nlp</title>
		<link>http://www.52nlp.cn/bayesian-modeling-for-language-tutorial-reading/comment-page-1#comment-613</link>
		<dc:creator>52nlp</dc:creator>
		<pubDate>Mon, 14 Dec 2009 12:01:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.52nlp.cn/?p=2657#comment-613</guid>
		<description>我还看不出来笑话~</description>
		<content:encoded><![CDATA[<p>我还看不出来笑话~</p>
]]></content:encoded>
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	<item>
		<title>来自：Mars</title>
		<link>http://www.52nlp.cn/bayesian-modeling-for-language-tutorial-reading/comment-page-1#comment-612</link>
		<dc:creator>Mars</dc:creator>
		<pubDate>Mon, 14 Dec 2009 00:47:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.52nlp.cn/?p=2657#comment-612</guid>
		<description>这个workbook真的很不错，深入浅出，就是夹杂了一堆难懂的笑话，呵呵</description>
		<content:encoded><![CDATA[<p>这个workbook真的很不错，深入浅出，就是夹杂了一堆难懂的笑话，呵呵</p>
]]></content:encoded>
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	<item>
		<title>来自：52nlp</title>
		<link>http://www.52nlp.cn/bayesian-modeling-for-language-tutorial-reading/comment-page-1#comment-601</link>
		<dc:creator>52nlp</dc:creator>
		<pubDate>Thu, 10 Dec 2009 12:00:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.52nlp.cn/?p=2657#comment-601</guid>
		<description>多谢推荐!不过你已经深处最前沿的CLSP了，呵呵！</description>
		<content:encoded><![CDATA[<p>多谢推荐!不过你已经深处最前沿的CLSP了，呵呵！</p>
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		<title>来自：Mars</title>
		<link>http://www.52nlp.cn/bayesian-modeling-for-language-tutorial-reading/comment-page-1#comment-598</link>
		<dc:creator>Mars</dc:creator>
		<pubDate>Wed, 09 Dec 2009 21:49:18 +0000</pubDate>
		<guid isPermaLink="false">http://www.52nlp.cn/?p=2657#comment-598</guid>
		<description>我觉得这个还是挺难懂的，最近读了很多篇，但还是觉得东西太多，在脑子里结构不够清晰。

这里的reading group的顺序是：Basics (probability, Bayesian rules, etc.) -&gt; Bayesian Network (Graphical Models) -&gt; Inference (Exact &amp; Variational/Sampling) -&gt; LDA -&gt; Dirichlet Process -&gt; Nonparametric Bayesian -&gt; HDP, Infinite HMM, etc.

不过读完这些就快看到当今研究的前沿了，呵呵。</description>
		<content:encoded><![CDATA[<p>我觉得这个还是挺难懂的，最近读了很多篇，但还是觉得东西太多，在脑子里结构不够清晰。</p>
<p>这里的reading group的顺序是：Basics (probability, Bayesian rules, etc.) -&gt; Bayesian Network (Graphical Models) -&gt; Inference (Exact &amp; Variational/Sampling) -&gt; LDA -&gt; Dirichlet Process -&gt; Nonparametric Bayesian -&gt; HDP, Infinite HMM, etc.</p>
<p>不过读完这些就快看到当今研究的前沿了，呵呵。</p>
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