<?xml version="1.0"?>
<?xml-stylesheet type="text/css" href="http://www.cslt.org/mediawiki/skins/common/feed.css?303"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="zh-cn">
		<id>http://www.cslt.org/mediawiki/index.php?action=history&amp;feed=atom&amp;title=Dongxu_Zhang_2015-10-12</id>
		<title>Dongxu Zhang 2015-10-12 - 版本历史</title>
		<link rel="self" type="application/atom+xml" href="http://www.cslt.org/mediawiki/index.php?action=history&amp;feed=atom&amp;title=Dongxu_Zhang_2015-10-12"/>
		<link rel="alternate" type="text/html" href="http://www.cslt.org/mediawiki/index.php?title=Dongxu_Zhang_2015-10-12&amp;action=history"/>
		<updated>2026-04-03T19:53:48Z</updated>
		<subtitle>本wiki的该页面的版本历史</subtitle>
		<generator>MediaWiki 1.23.3</generator>

	<entry>
		<id>http://www.cslt.org/mediawiki/index.php?title=Dongxu_Zhang_2015-10-12&amp;diff=17051&amp;oldid=prev</id>
		<title>Zhangdx：以“Last Week: ----- * simple pooling cannot improve the performance(With initialization) . After tuning arpha with 0.8, 0.9, performance went down. And 0.999 raise up t...”为内容创建页面</title>
		<link rel="alternate" type="text/html" href="http://www.cslt.org/mediawiki/index.php?title=Dongxu_Zhang_2015-10-12&amp;diff=17051&amp;oldid=prev"/>
				<updated>2015-10-12T06:48:05Z</updated>
		
		<summary type="html">&lt;p&gt;以“Last Week: ----- * simple pooling cannot improve the performance(With initialization) . After tuning arpha with 0.8, 0.9, performance went down. And 0.999 raise up t...”为内容创建页面&lt;/p&gt;
&lt;p&gt;&lt;b&gt;新页面&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Last Week:&lt;br /&gt;
-----&lt;br /&gt;
* simple pooling cannot improve the performance(With initialization) . After tuning arpha with 0.8, 0.9, performance went down. And 0.999 raise up the performance. 0.99 is still running. &lt;br /&gt;
* remove some low frequency relations in KBP data and evaluation tool is tuned and can be used on this dataset.&lt;br /&gt;
* try the cbow-like topic model. performance is ok in reuters8 dataset. running on 20newsgroup.&lt;br /&gt;
&lt;br /&gt;
This week:&lt;br /&gt;
-----&lt;br /&gt;
* complete the CNN code with position. and run both CNN and RNN on KBP dataset.&lt;br /&gt;
* waiting for results when arpha = 0.99 and 0.999. waiting for results on cbow-like model.&lt;br /&gt;
* compare performance on KNN classification using distance depicted with and without attention.&lt;br /&gt;
* devide the 20ng into two parts, one for supervision, one for unsupervised data, to try one-shot document classification.&lt;/div&gt;</summary>
		<author><name>Zhangdx</name></author>	</entry>

	</feed>