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posted @ 2017-09-29 22:40
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平方差损失能较绝对值差损失更快地更新
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posted @ 2017-09-29 20:37
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https://statweb.stanford.edu/~jhf/ftp/trebst.pdf page10 90% to 95% of the observations were often deleted without sacrificing accuracy of theestimates
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posted @ 2017-09-29 20:03
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【 biased regression methods to reduce variance 通过偏回归来减小方差】 https://onlinecourses.science.psu.edu/stat857/node/137 Introducing biased regression method
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posted @ 2017-09-29 17:45
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https://www.analyticsvidhya.com/blog/2015/08/comprehensive-guide-regression/ Linear Regression Logistic Regression Polynomial Regression Stepwise Regr
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posted @ 2017-09-29 16:39
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posted @ 2017-09-29 16:35
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http://www.kdd.org/kdd2016/papers/files/rfp0697-chenAemb.pdf https://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf 【Training Loss measures how w
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posted @ 2017-09-29 16:16
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zh.wikipedia.org/wiki/Bagging算法 Bagging算法 (英语:Bootstrap aggregating,引导聚集算法),又称装袋算法,是机器学习领域的一种团体学习算法。最初由Leo Breiman于1994年提出。Bagging算法可与其他分类、回归算法结合,提高其准
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posted @ 2017-09-29 14:35
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https://en.wikipedia.org/wiki/Ensemble_learning Stacking Stacking (sometimes called stacked generalization) involves training a learning algorithm to
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posted @ 2017-09-29 11:52
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https://www.quora.com/Why-do-people-use-gradient-boosted-decision-trees-to-do-feature-transform Why is linearity/non-linearity important?Most of our c
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posted @ 2017-09-29 11:40
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en.wikipedia.org/wiki/Channel_(digital_image) Color digital images are made of pixels, and pixels are made of combinations of primary colors represent
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posted @ 2017-09-29 10:57
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posted @ 2017-09-29 08:32
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posted @ 2017-09-28 23:48
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posted @ 2017-09-28 23:26
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posted @ 2017-09-28 23:24
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posted @ 2017-09-28 23:22
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http://www.gatsby.ucl.ac.uk/~gretton/coursefiles/RKHS2013_slides1.pdf RKHS: a function space with a very special structure
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posted @ 2017-09-28 21:58
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https://en.wikipedia.org/wiki/Definite_quadratic_form https://www.math.utah.edu/~zwick/Classes/Fall2012_2270/Lectures/Lecture33_with_Examples.pdf
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posted @ 2017-09-28 20:44
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http://www.gatsby.ucl.ac.uk/~gretton/coursefiles/lecture4_introToRKHS.pdf
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posted @ 2017-09-28 20:29
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http://mathworld.wolfram.com/HilbertSpace.html A Hilbert space is a vector space with an inner product such that the norm defined by turns into a comp
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posted @ 2017-09-28 15:59
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http://mp.weixin.qq.com/s/hImjVRMHHEC3SAepAoL2Tw
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posted @ 2017-09-28 15:50
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Reproducing kernel Hilbert space Mapping the points to a higher dimensional feature space http://www.gatsby.ucl.ac.uk/~gretton/coursefiles/lecture4_in
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posted @ 2017-09-28 15:08
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posted @ 2017-09-28 12:06
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posted @ 2017-09-28 11:49
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posted @ 2017-09-28 11:46
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https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/funcZone_TKDE_Zheng.pdf Specifically, we introduce the concept of Latent Activity
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posted @ 2017-09-27 22:24
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http://mp.weixin.qq.com/s/2NoYnwE_FxfhU9qCwH-nnA 用实际轮廓确定商圈的范围
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posted @ 2017-09-27 21:57
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https://en.wikipedia.org/wiki/Frobenius_inner_product Frobenius norm
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posted @ 2017-09-27 20:01
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In many cases, the smallness of the residual means that the approximation is close to the solution, i.e., 残差:结果的差值 误差:近似解与解的差值 https://en.wikipedia.or
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posted @ 2017-09-27 19:51
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http://djt.qq.com/article/view/16 其主要思想就是把影响集中到一个点,然后再发散到一个面,出现意外情况后很容易就回退。 Gmail Labs是一个新特性橱窗,用户可以自己选择一些未正式发布的新特性进行体验,不喜欢可以关闭,在这个过程中,吃了螃蟹,也当了Google的小
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posted @ 2017-09-27 17:41
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http://www.mit.edu/~9.520/scribe-notes/cl7.pdf https://en.wikipedia.org/wiki/Bayesian_interpretation_of_kernel_regularization the degree to which inst
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posted @ 2017-09-27 15:58
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适定性问题 zh.wikipedia.org/wiki/適定性問題 数学术语适定性问题来自于哈达玛所给出的定义。他认为物理现象中的数学模型应该具备下述性质: 适定性问题的原型范例包括对于拉普拉斯方程的狄利克雷问题,以及给定初始条件的热传导方程式。在物理过程中解决的这些问题,也许被视为“自然”问题。相
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posted @ 2017-09-27 15:10
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zh.wikipedia.org/wiki/數值微分 数值微分是数值方法中的名词,是用函数的值及其他已知资讯来估计一函数导数的算法。 http://mathworld.wolfram.com/NumericalDifferentiation.html Numerical differentiatio
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posted @ 2017-09-27 14:05
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http://docs.oracle.com/cd/E19957-01/806-3568/ncg_goldberg.html
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posted @ 2017-09-27 13:55
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http://ufldl.stanford.edu/tutorial/supervised/OptimizationStochasticGradientDescent/
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posted @ 2017-09-27 12:08
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https://stats.stackexchange.com/questions/164876/tradeoff-batch-size-vs-number-of-iterations-to-train-a-neural-network It has been observed in practic
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posted @ 2017-09-27 11:47
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