blocks|key|56774|text|谷歌的CS+Curriculum+Search可能会很有用。这是一个谷歌网络搜索，仅限于大学的计算机科学系。它将结果分为“讲座”、“作业”和“参考”。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|56775|还有Scholarpedia，它类似于维基百科，但有标准。|56776|entityMap|0|LINK|mutability|MUTABLE|url|http://code.google.com/edu/curriculumsearch/|1|http://www.scholarpedia.org/^0|3|K|0|0|2|C|1|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]]|C|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|F|3|-4|5|6|7|X|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]|N|$5|I|J|K|C|$L|O]]]]

Google’s <a href="http://code.google.com/edu/curriculumsearch/" rel="nofollow noreferrer">CS Curriculum Search</a> might be useful. It's a Google web search restricted to the CS departments of universities. It categorises the results into “Lectures”, “Assignments” and “Reference”.

Also <a href="http://www.scholarpedia.org/" rel="nofollow noreferrer">Scholarpedia</a>, which is like Wikipedia but with standards.

blocks|key|56526|text|如果你在ACM上找到了付费墙后面的东西，你通常可以在作者的网站或Citeseer缓存中免费找到它。此外，许多CS文章都是由Springer发布的，可能只会出现在their+web+site上(在付费墙后面)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|56527|如果你想查看某个特定的作者或会议，DBLP是很有用的。不过，他们的论文链接是“官方”付费版本。|56528|顺便说一句，个人会员费为ACM+aren't+too+onerous，并授权您访问他们的图书馆。IIRC，他们还为会员提供团体健康保险，如果你是个体户，这可能会有帮助。|56529|entityMap|0|LINK|mutability|MUTABLE|url|http://springerlink.com/computer-science/|1|http://www.informatik.uni-trier.de/~ley/db/|2|http://www.acm.org/membership/dues^0|28|E|0|0|H|4|1|0|G|I|2|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|D|3|E|5|6|7|X|8|@]|9|@$A|Y|B|Z|1|10]]|C|$]]|$1|F|3|G|5|6|7|11|8|@]|9|@$A|12|B|13|1|14]]|C|$]]|$1|H|3|-4|5|6|7|15|8|@]|9|@]|C|$]]]|I|$J|$5|K|L|M|C|$N|O]]|P|$5|K|L|M|C|$N|Q]]|R|$5|K|L|M|C|$N|S]]]]

If you find something on ACM that is behind the pay wall, you can usually find it for free on one of the authors' websites or in the Citeseer cache. Also, a lot of CS articles are published by Springer and may only show up on <a href="http://springerlink.com/computer-science/" rel="nofollow noreferrer">their web site</a> (behind a pay wall).

<a href="http://www.informatik.uni-trier.de/~ley/db/" rel="nofollow noreferrer">DBLP</a> is useful if you want to look at a particular author or conference. Their links to papers are to the "official" for-pay versions, though. 

BTW, individual membership dues for the ACM <a href="http://www.acm.org/membership/dues" rel="nofollow noreferrer">aren't too onerous</a> and entitle you to access to their library. IIRC, they also offer group health insurance to members, which may be helpful if you're self-employed.

blocks|key|2545467|text|我在http://mathworld.wolfram.com上查看数学方面的东西。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2545468|如果你是ACM的正式会员，文章通常是免费的:这很容易让你(或你的雇主)觉得会员的费用是值得的。|2545469|entityMap|0|LINK|mutability|MUTABLE|url|http://mathworld.wolfram.com/^0|2|S|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

I check <a href="http://mathworld.wolfram.com" rel="nofollow noreferrer">http://mathworld.wolfram.com</a> for math-y stuff.

If you're a full member of the ACM, articles are [generally] free: which could easily make the cost of the membership worthwhile to you (or your employer).

blocks|key|56518|text|谷歌学者。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|56519|除此之外，我不确定。大多数教授在他们的大学主页上都会有他们的文章的PDF，所以你可以在那里查找做过研究的人并在那里找到一些文章。|56520|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

Google Scholar. 

Outside of that, I'm not sure. Most profs will have PDFs of their articles somewhere on their university home page, so you can look up people who've done research and get some articles there.

blocks|key|2545531|text|你通常可以在大学图书馆(现场)查阅期刊和会议记录的纸质(有时是电子)副本。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2545532|您还可以找到特定于字段的资源。例如，在计算机视觉方面，http://homepages.inf.ed.ac.uk/rbf/CVonline/有很多知识|offset|length|2545533|entityMap|0|LINK|mutability|MUTABLE|url|http://homepages.inf.ed.ac.uk/rbf/CVonline/^0|0|R|17|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@$D|P|E|Q|1|R]]|A|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|M]]]]

You can usually consult paper (and sometimes electronic) copies of journals and conference proceedings at university libraries (on site).

You can find field-specific resources as well. For instance, in computer vision, there's a lot of knowledge at <a href="http://homepages.inf.ed.ac.uk/rbf/CVonline/" rel="nofollow noreferrer">http://homepages.inf.ed.ac.uk/rbf/CVonline/</a>

blocks|key|56797|text|有一个很好的搜索引擎，我正在使用它：http://www.readbook.ir，它可以帮助你找到三军情报局，IEEE和ACM和…论文分开。试试看|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|56798|entityMap|0|LINK|mutability|MUTABLE|url|http://www.readbook.ir/^0|I|M|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

There is a good search engine I`m using it: <a href="http://www.readbook.ir" rel="nofollow">http://www.readbook.ir</a> It can help you to find ISI, IEEE and ACM and... papers separately. try it

blocks|key|57509|text|有很多很棒的数学库，你只需花很少的钱，就可以得到整个库，以可执行的形式，已经移植到你的平台上了。NAG+-+Numerical+Algorithms+Group是到目前为止最知名的，但也有其他的。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|57510|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

There are fantastic mathematical libraries around for which you pay modest cost and get the whole library, in executable form, already ported to your platform. NAG - Numerical Algorithms Group, is by far the best well known, but there are others.

blocks|key|2757335|text|微软研究院可能也有一些有趣的文章。Microsoft+Research|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2757336|entityMap|0|LINK|mutability|MUTABLE|url|http://research.microsoft.com/^0|H|I|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

Microsoft Research might have some interesting articles as well. <a href="http://research.microsoft.com/" rel="nofollow noreferrer">Microsoft Research</a>

When I need some complex algorithm I first check if there's anything relevant already published on the Internet. 10 times out of 10 I'll find that someone already have figured out a solution much smarter than what I would have thought of.

Apart from a generic Google search, I use:

<ul>
<li><a href="http://citeseerx.ist.psu.edu/" rel="nofollow noreferrer">Citeseer</a> That has a lot of good theoric reports from Universities</li>
<li><a href="http://www.ddj.com" rel="nofollow noreferrer">Dr Dobb's Portal</a> More practical than Citeseer but very often too specific to a particular technology or language</li>
<li><a href="http://arxiv.org/" rel="nofollow noreferrer">Arxiv</a> Even more theoretic contains draft and pre-prints (just in case I'm desperate :) )</li>
</ul>

I've also found the <a href="http://www.jucs.org/" rel="nofollow noreferrer">J.UCS</a> (Journal of Universal Computer Science) containing some interesting articles (but i've not really used any of the info I found there).

Do you know of any other place where good CS articles can be searched and read for free?

Online Computer Science articles repository?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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当我需要一些复杂的算法时，我首先检查是否有任何相关的东西已经发布在互联网上。10次中有10次我会发现，有人已经想出了比我想象的更聪明的解决方案。除了一般的Google搜索之外，我还使用：有许多来自Universities的很好的理论报告，比Citeseer更实用，但往往针对特定的技术或language，甚至更理论，包含草稿和预印本(以防我绝望: ) 我还找到了 (通用计算机科学杂志)，里面有一些有

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