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PCA (Principal Component Analysis) | Notebook
https://juscodit.wordpress.com/2013/11/17/pca-principal-component-analysis-笔记
For things I've learned and done. Skip to primary content. PCA (Principal Component Analysis). November 17, 2013. 所谓的 PCA(Principal Component Analysis) 就是对数据进行降维。 假设原始输入中每个 data point 都是一个 n 维向量{x. 其中 x 向量和 y 向量可能不在同一空间，其实大多数时候不在一个空间 所谓的不同的空间其实质就是不同的 basis. 最简单粗暴的降维方式就是直接将输入数据的第 m 1 维到第 n 维去掉，这样就将数据从 n 维降到 m 维，但这样的方式显然不具有普适性，很可能最重要的特征就在第 m 1 维到第 n 维。 因此我们需要一种能度量降维合理性的指标 也就是常说的 loss function。 PCA 用的指标就是数据的 variance 最大化，通俗的理解就是保持数据中尽可能多的信息量不丢失。 也就是说 project 后的数据的 variance 越大越好。 假设原始输入记为随机向量 X = {X. 任意两个随机变...
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Arch Linux PPTP VPN Connection | Notebook
https://juscodit.wordpress.com/2013/11/17/arch-linux-pptp-vpn-connection
For things I've learned and done. Skip to primary content. Arch Linux PPTP VPN Connection. November 17, 2013. Config pptp exactly as arch linux wiki. Says except for the routing part. 1 Follow wiki steps. Add username and password to /etc/ppp/chap-secrets. USERNAME PPTP PASSWORD *. Create tunnel file /etc/ppp/peers/ your vpn . Pty "pptp vpn server addr - nolaunchpppd" name USERNAME remotename PPTP require-mppe-128 file /etc/ppp/options.pptp ipparam your vpn. For me, the output is:. Ip route del default.
chenrs | Notebook
https://juscodit.wordpress.com/author/chenrs
For things I've learned and done. Skip to primary content. Skip to secondary content. This blog is mainly about technical stuff, including programming, algorithm, etc. PCA (Principal Component Analysis). November 17, 2013. 所谓的 PCA(Principal Component Analysis) 就是对数据进行降维。 假设原始输入中每个 data point 都是一个 n 维向量{x. 其中 x 向量和 y 向量可能不在同一空间，其实大多数时候不在一个空间 所谓的不同的空间其实质就是不同的 basis. 最简单粗暴的降维方式就是直接将输入数据的第 m 1 维到第 n 维去掉，这样就将数据从 n 维降到 m 维，但这样的方式显然不具有普适性，很可能最重要的特征就在第 m 1 维到第 n 维。 因此我们需要一种能度量降维合理性的指标 也就是常说的 loss function。 Covar...
November | 2013 | Notebook
https://juscodit.wordpress.com/2013/11
For things I've learned and done. Skip to primary content. Skip to secondary content. Monthly Archives: November 2013. PCA (Principal Component Analysis). November 17, 2013. 所谓的 PCA(Principal Component Analysis) 就是对数据进行降维。 假设原始输入中每个 data point 都是一个 n 维向量{x. 其中 x 向量和 y 向量可能不在同一空间，其实大多数时候不在一个空间 所谓的不同的空间其实质就是不同的 basis. 最简单粗暴的降维方式就是直接将输入数据的第 m 1 维到第 n 维去掉，这样就将数据从 n 维降到 m 维，但这样的方式显然不具有普适性，很可能最重要的特征就在第 m 1 维到第 n 维。 因此我们需要一种能度量降维合理性的指标 也就是常说的 loss function。 PCA 用的指标就是数据的 variance 最大化，通俗的理解就是保持数据中尽可能多的信息量不丢失。
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Je vous aime tous. 11/04/2008 at 6:00 AM. 01/10/2008 at 6:44 AM. Subscribe to my blog! Ce surnom je l'ai creer cette année grace au dessin animée dbz et je l'adore vraiment et j'espere que vous l'aimer aussi. Don't forget that insults, racism, etc. are forbidden by Skyrock's 'General Terms of Use' and that you can be identified by your IP address (66.160.134.3) if someone makes a complaint. Please enter the sequence of characters in the field below. Posted on Wednesday, 01 October 2008 at 6:47 AM. Ça c'e...
Jusco = ジャスティン+コール = ジャスコ！
Thursday, August 8, 2013. There's been a few changes in my life recently. First off, the big news:. We'd been together for 10 years, but it was time to say goodbye to my wonderful 96' Nissan 240sx. I would have driven him to the edge of the earth had it not been for our next big change. We moved to Japan! Shibuya Crossing, Tokyo. I was accepted into the JET Program a few months ago and placed in Hokkaido. Before to move up north, though, I got to spend a few days in Tokyo. Tuesday, April 30, 2013. You ca...
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Notebook | for things I've learned and done
For things I've learned and done. Skip to primary content. Skip to secondary content. PCA (Principal Component Analysis). November 17, 2013. 所谓的 PCA(Principal Component Analysis) 就是对数据进行降维。 假设原始输入中每个 data point 都是一个 n 维向量{x. 其中 x 向量和 y 向量可能不在同一空间，其实大多数时候不在一个空间 所谓的不同的空间其实质就是不同的 basis. 最简单粗暴的降维方式就是直接将输入数据的第 m 1 维到第 n 维去掉，这样就将数据从 n 维降到 m 维，但这样的方式显然不具有普适性，很可能最重要的特征就在第 m 1 维到第 n 维。 因此我们需要一种能度量降维合理性的指标 也就是常说的 loss function。 PCA 用的指标就是数据的 variance 最大化，通俗的理解就是保持数据中尽可能多的信息量不丢失。 也就是说 project 后的数据的 variance 越大越好。
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Jus cogens: Recent Developments in International Law
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