https://blog.youkuaiyun.com/kimuwuzh-cnhttps://blog.youkuaiyun.com/https://blog.youkuaiyun.com/kimuwu/article/details/43227201https://blog.youkuaiyun.com/kimuwu/article/details/43227201kimuwuWed, 28 Jan 2015 10:53:50 +0800https://blog.youkuaiyun.com/kimuwu/article/details/42200597https://blog.youkuaiyun.com/kimuwu/article/details/42200597kimuwuSat, 27 Dec 2014 22:44:01 +0800https://blog.youkuaiyun.com/kimuwu/article/details/41044757https://blog.youkuaiyun.com/kimuwu/article/details/41044757kimuwuWed, 12 Nov 2014 15:53:46 +0800https://blog.youkuaiyun.com/kimuwu/article/details/38920019https://blog.youkuaiyun.com/kimuwu/article/details/38920019kimuwuFri, 29 Aug 2014 10:00:15 +0800https://blog.youkuaiyun.com/kimuwu/article/details/30970795https://blog.youkuaiyun.com/kimuwu/article/details/30970795kimuwuSun, 15 Jun 2014 10:07:18 +0800https://blog.youkuaiyun.com/kimuwu/article/details/30719413https://blog.youkuaiyun.com/kimuwu/article/details/30719413kimuwuSat, 14 Jun 2014 10:31:13 +0800https://blog.youkuaiyun.com/kimuwu/article/details/30574857https://blog.youkuaiyun.com/kimuwu/article/details/30574857kimuwuFri, 13 Jun 2014 23:06:20 +0800https://blog.youkuaiyun.com/kimuwu/article/details/30519143https://blog.youkuaiyun.com/kimuwu/article/details/30519143kimuwuFri, 13 Jun 2014 20:11:49 +0800https://blog.youkuaiyun.com/kimuwu/article/details/29557855https://blog.youkuaiyun.com/kimuwu/article/details/29557855kimuwuMon, 09 Jun 2014 09:59:03 +0800https://blog.youkuaiyun.com/kimuwu/article/details/29371959https://blog.youkuaiyun.com/kimuwu/article/details/29371959kimuwuSun, 08 Jun 2014 16:29:05 +0800https://blog.youkuaiyun.com/kimuwu/article/details/25817247https://blog.youkuaiyun.com/kimuwu/article/details/25817247kimuwuWed, 14 May 2014 17:20:46 +0800https://blog.youkuaiyun.com/kimuwu/article/details/25743455https://blog.youkuaiyun.com/kimuwu/article/details/25743455kimuwuTue, 13 May 2014 22:04:50 +0800https://blog.youkuaiyun.com/kimuwu/article/details/24626191https://blog.youkuaiyun.com/kimuwu/article/details/24626191kimuwuMon, 28 Apr 2014 10:48:01 +0800https://blog.youkuaiyun.com/kimuwu/article/details/23392019https://blog.youkuaiyun.com/kimuwu/article/details/23392019kimuwuThu, 10 Apr 2014 23:00:17 +0800https://blog.youkuaiyun.com/kimuwu/article/details/21101467https://blog.youkuaiyun.com/kimuwu/article/details/21101467kimuwuWed, 12 Mar 2014 17:03:11 +0800 概率密度模型 = 产生式模型 -> 预测 　　判别式模型：有限样本 -> 判别函数 = 判别式模型 -> 预测 简介 　　简单的说，假设 o 是观察值，m 是模型。 　　如果对 P(o|m) 建模，就是生成式模型。其基本思想是首先建立样本的概率密度模型，再利用模型进行推理预测。要]]>https://blog.youkuaiyun.com/kimuwu/article/details/17306875https://blog.youkuaiyun.com/kimuwu/article/details/17306875kimuwuFri, 13 Dec 2013 19:33:55 +0800https://blog.youkuaiyun.com/kimuwu/article/details/17209077https://blog.youkuaiyun.com/kimuwu/article/details/17209077kimuwuSun, 08 Dec 2013 23:36:55 +0800https://blog.youkuaiyun.com/kimuwu/article/details/17150553https://blog.youkuaiyun.com/kimuwu/article/details/17150553kimuwuThu, 05 Dec 2013 22:27:12 +0800https://blog.youkuaiyun.com/kimuwu/article/details/17127447https://blog.youkuaiyun.com/kimuwu/article/details/17127447kimuwuWed, 04 Dec 2013 22:21:29 +0800https://blog.youkuaiyun.com/kimuwu/article/details/17094647https://blog.youkuaiyun.com/kimuwu/article/details/17094647kimuwuTue, 03 Dec 2013 13:59:58 +0800