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语义噪声 | 西瓜大丸子汤的博客

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语义噪声 | 西瓜大丸子汤的博客 | baojiebaojie.wordpress.com Reviews
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西瓜大丸子汤的博客 (by Jie Bao)
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KEYWORDS
1 语义噪声
2 西瓜大丸子汤的博客
3 这里有关于语义网的噪声、看法、吐槽,和其他随便什么东西
4 本博客转移到blog baojie org
5 jie bao
6 发表评论
7 以前在这个里发布的所有内容已转移到新博客空间
8 小可人儿妞妞
9 妞妞快三岁了
10 近期一些言论如下
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语义噪声,西瓜大丸子汤的博客,这里有关于语义网的噪声、看法、吐槽,和其他随便什么东西,本博客转移到blog baojie org,jie bao,发表评论,以前在这个里发布的所有内容已转移到新博客空间,小可人儿妞妞,妞妞快三岁了,近期一些言论如下,2 妞 爸爸给你吃,爸 为什么啊,妞 因为我喜欢你啊,我们是好朋友,黑猫警长是我的好朋友,4 妞 丫丫妹妹不要哭,姐姐帮你找牙齿,5 妞 我要吃棒棒糖,妈 好,但只能吃一下,吃多了牙齿会长黑虫,妞 舔了几分钟 好了,我吃好了,你给我没收了吧,爸 妞妞这么乖啊
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语义噪声 | 西瓜大丸子汤的博客 | baojiebaojie.wordpress.com Reviews

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Noam Chomsky on Where Artificial Intelligence Went Wrong. 2012-11-01, The Atlantic. Peter Norvig: On Chomsky and the Two Cultures of Statistical Learning. 语义网是NonRDF: not only RDF. 用的是这个包 https:/ github.com/charlax/wordpresslib. Git clone https:/ github.com/charlax/wordpresslib.git cd wordpresslib python setup.py install. 在今后1-2年内,语义网技术推向大众市场 企业市场和专有领域是另一会事 ,机会在哪里 我以为其一是智能界面,一些全新的服务形式。 Tom Gruber说Intelligence at Interface I@I ,语音个人代理只是一种表现形式。 做一个每个人 很忙的,很闲的 男的,女的 要找饮食的,要找男女的 都需要的Evernote。 语义Web的前景如何 (2)是...

2

小可人儿妞妞 | 语义噪声

https://baojiebaojie.wordpress.com/2012/12/13/niuniu-the-sweet

1 妞 爸爸你还没下班吗 你快回来吧,我想你抱我. 3 妞 看电视 我不要老鼠 摆手 ,我要黑猫警长。 6 妞 看到抽屉里的蜡烛 等我过生日了,妈妈要给我买蛋糕,然后你们唱歌,然后我就吹蜡烛. 妞 没有错啊,妞妞和妈妈都要过生日 所以是 祝你生日妞、妈. 在 Facebook 上共享 在新窗口中打开. 点击以在 Twitter 上共享 在新窗口中打开. Click to email 在新窗口中打开. 点击以在 Reddit 上共享 在新窗口中打开. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. Critics pounce on...

3

Microdata, RDFa, 语义超摩尔定律 | 语义噪声

https://baojiebaojie.wordpress.com/2012/11/28/microdata-and-rdfa

Microdata, RDFa, 语义超摩尔定律. Microdata, RDFa, 语义超摩尔定律. HTML Working Group和RDFa主席反对Microdata的文章: Objection to Microdata Candidate Recommendation. 几个有趣的论点 1 Microdata和RDFa基本重叠,而RDFa已经是标准 2 除了Google,几乎没有人用Microdata 1%。 Peter Mika和Tim Potter今年关于Web上元数据统计: Metadata Statistics for a Large Web Corpus. 几个主要的元数据网站是Facebook, tabelog,venere, yahoo, tripadvisor 含中文网站daodao , answers, myspace。 到2012年1月,搜索引擎可见的语义网的规模有多大 Peter Mika报告说 至少170亿三元组,其中10%由Facebook产生。 在 Facebook 上共享 在新窗口中打开. 点击以在 Twitter 上共享 在新窗口中打开. Python日报 2...

4

Jie Bao | 语义噪声

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请移步 http:/ blog.baojie.org/. 1 妞 爸爸你还没下班吗 你快回来吧,我想你抱我. 3 妞 看电视 我不要老鼠 摆手 ,我要黑猫警长。 6 妞 看到抽屉里的蜡烛 等我过生日了,妈妈要给我买蛋糕,然后你们唱歌,然后我就吹蜡烛. 妞 没有错啊,妞妞和妈妈都要过生日 所以是 祝你生日妞、妈. Http:/ www.weibo.com/xiguadawanzitang/profile? Http:/ t.cn/zjVMZsw 用图数据库做语义网的. 图数据库比语义数据库好的四个原因 1 构造更简单,对字符串更友好,避免过早优化 2 对大规. 模并行支持好,有现成的解决方案 3 工具系统集成好,json数据交换 4 本身支持sparql甚至推. 回复@个体小知: pregel和hama之类,表达力有限,一般适合传统图论操作,和titan, orientdb,. 在各种图数据库里,Titan是个新生,不过貌似潜力惊人 http:/ t.cn/zlboiMo. 以下应该都够用 3) 适合不懂语义、图DB,只懂SQL的程序员来学习 4 内置推理,连推理机都. 其实SPARQL弥补了一点,就是g...

5

语义网的高级语言 | 语义噪声

https://baojiebaojie.wordpress.com/2012/11/27/advanced-language-of-semantic-web

有很多建议,引入诸如package, named graph这样的组织单元,但目前还没有达成共识或广泛采用。 其实SPARQL弥补了一点,就是graph pattern 一些语言如SPIN,把graph pattern作为可重用的单元,甚至可以生成新的数据。 是错误的 为RDF引入更精确的语义,基于上下文(context)的组织和寻址,并不合适 虽然Pat Hayes后来很喜欢这个想法并在工作组内推 一个类似的想法. 现在的几个努力方向 JSON语法,Named Graph, Turtle Syntax,这些都是好的。 不追求addressing uniqueness, 而是probable and eventual addressing uniqueness. 这个语言的文档不要提什么 语义 有几个程序员关心SQL的语义 ,不要规定什么schema. 在 Facebook 上共享 在新窗口中打开. 点击以在 Twitter 上共享 在新窗口中打开. Click to email 在新窗口中打开. 点击以在 Reddit 上共享 在新窗口中打开. Address never made public).

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gridview -image+text/keep selected item highlight | Firefly's space

https://avaminzhang.wordpress.com/2014/07/10/gridview-imagetextkeep-selected-item-highlight

Gridview -image text/keep selected item highlight. Position, View convertView, ViewGroup parent) {. TODO Auto-generated method stub. LayoutInflater inflator = activity.getLayoutInflater();. ConvertView = inflator.inflate(R.layout.gridview row,. ViewtxtViewTitle = (TextView) convertView.findViewById(R.id.textView1);. ViewimgViewFlag = (ImageView) convertView.findViewById(R.id.imageView1);. View = (ViewHolder) convertView.getTag();. ViewtxtViewTitle.setText(listCountry.get(position) ;. 焦点不见了是因为设置了backgroun...

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colors in Android | Firefly's space

https://avaminzhang.wordpress.com/2014/09/04/colors-in-android

Android uses standard RGB (red, green and blue) color model. Each primary color value is usually represented by hexadecimal number. At the beginning of such a color definition you have to put a pound character (#). The simplest is just #RGB format, where #000 is black and #FFF is white. But in this format we have only 16 values per color so it gives 4096 combinations. That’s why #RRGGBB format is mainly used. In this format we have 256 values per primary color, so 16 777 216 colors in total. An augmented...

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Setup the Preferences | Firefly's space

https://avaminzhang.wordpress.com/2014/07/08/setup-the-preferences

Android preferences is a key/value entries. That store data that can be specific to a certain activity or shared among all activities within the application. The data are stored in a xml file. Preferences can be retrieved only by a single. Activity, we do it like this: we get a SharedPreferences. Object by calling getPreferences(int mode). SharedPreferences prefs=getPreferences( Context.MODE PRIVATE. The mode value can be one of the following:. Context.MODE PRIVATE (0). Context.MODE WORLD READABLE (1).

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onRestoreInstanceState() | Firefly's space

https://avaminzhang.wordpress.com/2014/07/08/onrestoreinstancestate

Is called only when recreating. Activity after it was killed. Such situation happen when:. Orientation of the device changes. Your activity is destroyed and recreated). There is another activity in front of yours and at some point the OS kills your activity in order to free memory. For example). Next time when you start your activity. Invalidate(Rect),只渲染Rect区域.Rect是一个矩形, Draw是在Invalidate调用时它才会被触发. Next post →. Leave a Reply Cancel reply. Enter your comment here. Address never made public). The Serious C...

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About me | Firefly's space

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There is a mad guy who is eager to explore the new and unknown things. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Notify me of new comments via email. Decide which test to use.

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FOAF | Firefly's space

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Xmlns:rdf=” http:/ www.w3.org/1999/02/22-rdf-syntax-ns#&#8221. Xmlns:rdfs=” http:/ www.w3.org/2000/01/rdf-schema#&#8221. Xmlns:foaf=” http:/ xmlns.com/foaf/0.1/&#8221. Xmlns:admin=” http:/ webns.net/mvcb/”&gt. Foaf:PersonalProfileDocument rdf:about=””. Foaf:maker rdf:resource=”#me”/. Foaf:primaryTopic rdf:resource=”#me”/. Admin:generatorAgent rdf:resource=” http:/ www.ldodds.com/foaf/foaf-a-matic”/&gt. Admin:errorReportsTo rdf:resource=”mailto:leigh@ldodds.com”/. Foaf:Person rdf:ID=”me”. You are commenti...

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decide which test to use | Firefly's space

https://avaminzhang.wordpress.com/2014/07/21/decide-which-test-to-use

Decide which test to use. An ANOVA hypothesis tests the difference in population means based on one characteristic or factor. a—– b. 8220;An example of when a one-way ANOVA could be used is if you want to determine if there is a difference in the mean height of stalks of three different types of seeds. Since there is more than one mean, you can use a one-way ANOVA since there is only one factor that could be making the heights different. A—- c —-b. Multivariate analysis of variance (MANOVA). You are comm...

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My WallWisher | Firefly's space

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Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Notify me of new comments via email. No bbl file generated mac Latex. Android 4.4.2 root issue. Decide which test to use. Build a webs...

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get lighter/darker shades of color Android | Firefly's space

https://avaminzhang.wordpress.com/2014/07/09/get-lighterdarker-shades-of-color-android

Get lighter/darker shades of color Android. Color choosers are a dime a dozen online, but 0to255.com. Is a very nice one. Even then, finding lighter and darker colors in Photoshop is somewhat unintuitive due to it using HSV rather than HSL. For its color picker. Its stated purpose is to allow you to specify a color and then find shades that are darker and lighter than that color. HSV 又称HSB 表示方法。 的敏感程度,Y 代表的是亮度,UV 代表的是彩度 因此黑白电影可省略UV,相近于RGB ,分别用 Cr和Cb来表示. 的时候,估计是 眼睛对 RGB 各种颜色的敏感度. Y 是明亮度 灰阶 ,因此 只需要获得 Y 的值.

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语义噪声 | 西瓜大丸子汤的博客

请移步 http:/ blog.baojie.org/. 1 妞 爸爸你还没下班吗 你快回来吧,我想你抱我. 3 妞 看电视 我不要老鼠 摆手 ,我要黑猫警长。 6 妞 看到抽屉里的蜡烛 等我过生日了,妈妈要给我买蛋糕,然后你们唱歌,然后我就吹蜡烛. 妞 没有错啊,妞妞和妈妈都要过生日 所以是 祝你生日妞、妈. Http:/ www.weibo.com/xiguadawanzitang/profile? Http:/ t.cn/zjVMZsw 用图数据库做语义网的. 图数据库比语义数据库好的四个原因 1 构造更简单,对字符串更友好,避免过早优化 2 对大规. 模并行支持好,有现成的解决方案 3 工具系统集成好,json数据交换 4 本身支持sparql甚至推. 回复@个体小知: pregel和hama之类,表达力有限,一般适合传统图论操作,和titan, orientdb,. 在各种图数据库里,Titan是个新生,不过貌似潜力惊人 http:/ t.cn/zlboiMo. 以下应该都够用 3) 适合不懂语义、图DB,只懂SQL的程序员来学习 4 内置推理,连推理机都. 其实SPARQL弥补了一点,就是g...

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