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一切都是天意

Tips on Machine Learning. Machine learning(ML) is a very famous topic in CS now. Lots of applications are based on Machine learning. For example, NLC(natural language computing), data mining, categorization are all related to ML. Actually, nowadays, ML is quite largely based on probability and statistcs. that's why I am revisiting probility model recently. I'm a freshman in ML, but recently i have some special feelings on this topic. 1 I use Q-learning algorithm. 1 Very slow converge. since there's s...

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一切都是天意 | wendylovesky.blogspot.com Reviews

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Tips on Machine Learning. Machine learning(ML) is a very famous topic in CS now. Lots of applications are based on Machine learning. For example, NLC(natural language computing), data mining, categorization are all related to ML. Actually, nowadays, ML is quite largely based on probability and statistcs. that's why I am revisiting probility model recently. I'm a freshman in ML, but recently i have some special feelings on this topic. 1 I use Q-learning algorithm. 1 Very slow converge. since there's s...

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一切都是天意 | wendylovesky.blogspot.com Reviews

https://wendylovesky.blogspot.com

Tips on Machine Learning. Machine learning(ML) is a very famous topic in CS now. Lots of applications are based on Machine learning. For example, NLC(natural language computing), data mining, categorization are all related to ML. Actually, nowadays, ML is quite largely based on probability and statistcs. that's why I am revisiting probility model recently. I'm a freshman in ML, but recently i have some special feelings on this topic. 1 I use Q-learning algorithm. 1 Very slow converge. since there's s...

INTERNAL PAGES

wendylovesky.blogspot.com

1

一切都是天意: 求解多数数问题。

http://wendylovesky.blogspot.com/2007/03/blog-post_03.html

问题描述：A[1.n]是n个整数，现要求找出多数数。多数数就是出现的次数大于[n/2]的数。例如1,2,3,3,3,3,4。由于3出现4次大于[7/2]，所以3是多数数。求一个复杂度O(n)的算法求出多数数。解答：这个问题看似简单，因为O(n 2)复杂度的算法是很容易得到的，只需统计每个数出现的次数和[N/2]比较就可以了。但是现在要求O(n)复杂的算法就需要对问题更深入的理解了。那么有些人可能要问了，万一多数数不存在怎么办呢？这个时候中位数就不是多数数了，因为多数数压根就不存在。但是这个问题很好解决! 那就是对求出的中位数做一次check，看看他是不是多数数就可以了。check的过程是O(n)复杂度，所以总复杂度是O(n). 方法二：这种方法比较巧妙。我把它叫做多数数统计法。算法如下：. 1) num = A[1]; (假设多数数就是A[1]). 2) freq = 1; (多数数目前的出现次数为1). 3) for(i = 2; i. Num = A[i];. Freq = 1;. 设u表示多数数在A中出现的次数，v表示非多数数在A中出现的次数(v = n - u)。

2

一切都是天意: 四月 2007

http://wendylovesky.blogspot.com/2007_04_01_archive.html

Tips on Machine Learning. Machine learning(ML) is a very famous topic in CS now. Lots of applications are based on Machine learning. For example, NLC(natural language computing), data mining, categorization are all related to ML. Actually, nowadays, ML is quite largely based on probability and statistcs. that's why I am revisiting probility model recently. I'm a freshman in ML, but recently i have some special feelings on this topic. 1 I use Q-learning algorithm. 1 Very slow converge. since there's s...

3

一切都是天意: funny tutorial on C pointers

http://wendylovesky.blogspot.com/2007/03/funny-tutorial-on-c-pointers.html

Funny tutorial on C pointers. 订阅：帖子评论 (Atom). 12298;康托尔、哥德尔、图灵——永恒的金色对角线》. Funny tutorial on C pointers.

4

一切都是天意: 三月 2007

http://wendylovesky.blogspot.com/2007_03_01_archive.html

Funny tutorial on C pointers. 问题描述：A[1.n]是n个整数，现要求找出多数数。多数数就是出现的次数大于[n/2]的数。例如1,2,3,3,3,3,4。由于3出现4次大于[7/2]，所以3是多数数。求一个复杂度O(n)的算法求出多数数。解答：这个问题看似简单，因为O(n 2)复杂度的算法是很容易得到的，只需统计每个数出现的次数和[N/2]比较就可以了。但是现在要求O(n)复杂的算法就需要对问题更深入的理解了。那么有些人可能要问了，万一多数数不存在怎么办呢？这个时候中位数就不是多数数了，因为多数数压根就不存在。但是这个问题很好解决! 那就是对求出的中位数做一次check，看看他是不是多数数就可以了。check的过程是O(n)复杂度，所以总复杂度是O(n). 方法二：这种方法比较巧妙。我把它叫做多数数统计法。算法如下：. 1) num = A[1]; (假设多数数就是A[1]). 2) freq = 1; (多数数目前的出现次数为1). 3) for(i = 2; i. Num = A[i];. Freq = 1;. 哥德尔的不完备性定理震撼了20世纪数学界的天空&#65...

5

一切都是天意: 神奇的数学，神奇的lamda演算

http://wendylovesky.blogspot.com/2007/03/lamda.html

今天读了一篇〈康托尔、哥德尔、图灵——永恒的金色对角线〉（刘未鹏）(博客资源中可以下载），感慨颇深。机缘巧合之下读到这篇文章，读了第一段我就入迷，不得不继续下去，于是我花了一晚上读完了这篇12页的文章。一部精美的数学史展现在我的眼前，原来在计算机的背后竟有这么美妙的数学理论。哥德尔的不完备性定理震撼了20世纪数学界的天空，其数学意义颠覆了希尔伯特的形式化数学的宏伟计划，其哲学意义直到21世纪的今天仍然不断被延伸到各个自然学科，深刻影响着人们的思维。图灵为了解决希尔伯特著名的第十问题而提出有效计算模型，进而作出了可计算理论和现代计算机的奠基性工作，著名的停机问题给出了机械计算模型的能力极限，其深刻的意义和漂亮的证明使它成为可计算理论中的标志性定理之一。丘齐，跟图灵同时代的天才，则从另一个抽象角度提出了lambda算子的思想，与图灵机抽象的倾向于硬件性不同，丘齐的lambda算子理论是从数学的角度进行抽象，不关心运算的机...然而，这一切的一切，看似不很相关又有点相关，认真思考其关系却又有点一头雾水的背后，其实隐隐藏着一条线，这条...12290;随着本文的展开，你将会看到&#6529...

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一切都是天意

Tips on Machine Learning. Machine learning(ML) is a very famous topic in CS now. Lots of applications are based on Machine learning. For example, NLC(natural language computing), data mining, categorization are all related to ML. Actually, nowadays, ML is quite largely based on probability and statistcs. that's why I am revisiting probility model recently. I'm a freshman in ML, but recently i have some special feelings on this topic. 1 I use Q-learning algorithm. 1 Very slow converge. since there's s...

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Blog de wendyloveuse - pTiTe 2tOiLe C2LiBaTaIrE - Skyrock.com

Mot de passe :. J'ai oublié mon mot de passe. Tite étoile s'est réveillé! JE T AIME MON FILS! Mise à jour :. Abonne-toi à mon blog! N'oublie pas que les propos injurieux, racistes, etc. sont interdits par les conditions générales d'utilisation de Skyrock et que tu peux être identifié par ton adresse internet (67.219.144.114) si quelqu'un porte plainte. Ou poster avec :. Retape dans le champ ci-dessous la suite de chiffres et de lettres qui apparaissent dans le cadre ci-contre. Ou poster avec :. N'oublie ...