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posted @ 2013-09-06 12:42 gghost 阅读(105) 评论(0) 推荐(0) 编辑
摘要: hold-out cross v alidation k-fold cross v alidation forward search online learning 阅读全文
posted @ 2013-09-06 11:16 gghost 阅读(132) 评论(0) 推荐(0) 编辑
摘要: 1.分类 Photogrammetric calibration:Camera calibration is performed by observing a calibration object whose geometry in 3-D space is known with very good precision. Self-calibration:Techniques in this ... 阅读全文
posted @ 2013-09-04 17:07 gghost 阅读(408) 评论(0) 推荐(0) 编辑
摘要: Learning Theory The case of finite H 结论: The case of infnite H 阅读全文
posted @ 2013-09-04 14:12 gghost 阅读(217) 评论(0) 推荐(0) 编辑
摘要: functional margin geometric margin 问题转换:利用函数边界放大缩小不影响几何边界,使函数边界取1 Lagrange duality 问题的对偶形式: 对偶等价的条件: Optimal margin classiers 最后结果: Kernels ... 阅读全文
posted @ 2013-09-02 12:58 gghost 阅读(828) 评论(2) 推荐(0) 编辑
摘要: 服务器端程序: 客户端程序 服务器端程序和客户端程序: 阅读全文
posted @ 2013-08-30 19:13 gghost 阅读(146) 评论(0) 推荐(0) 编辑
摘要: 概述 GDA模型 Naive Bayes We will assume that the xi is are conditionally independent given y. This assumption is called the Naive Bayes (NB)assumption, and the resulting algorithm is call... 阅读全文
posted @ 2013-08-29 10:03 gghost 阅读(300) 评论(0) 推荐(0) 编辑
摘要: 连接错误 解决 dll头文件 dll源文件 C++调用 导出类 导出类函数 标准C调用 不加_stdcall _stdcall调用 隐式连接和动态加载 阅读全文
posted @ 2013-08-28 20:37 gghost 阅读(183) 评论(0) 推荐(0) 编辑
摘要: η is called the natural parameter (also called the canonical parameter) of the distribution; T (y) is the sufficient statistic (for the distributions we consider, it will often be the case that T (... 阅读全文
posted @ 2013-08-28 14:29 gghost 阅读(254) 评论(0) 推荐(0) 编辑
摘要: perceptron learning algorithm: Newton’s method: Hessian: When Newton’s method is applied to maximize the logistic regression log likelihood function ℓ(θ), the result... 阅读全文
posted @ 2013-08-28 12:50 gghost 阅读(285) 评论(0) 推荐(0) 编辑