2017年9月29日
小波分析 蒙特卡洛树
摘要： 小波 蒙特卡洛 阅读全文
posted @ 2017-09-29 23:26 papering 阅读(177) 评论(0) 推荐(0)
CNN延拓至 复数域
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posted @ 2017-09-29 22:40 papering 阅读(664) 评论(2) 推荐(0)
squared-error loss is much more repaidly updated than mean-absolute-deviation when searching for splits
摘要： 平方差损失能较绝对值差损失更快地更新 阅读全文
posted @ 2017-09-29 20:37 papering 阅读(323) 评论(0) 推荐(0)
Greedy Function Approximation:A Gradient Boosting Machine
摘要： https://statweb.stanford.edu/~jhf/ftp/trebst.pdf page10 90% to 95% of the observations were often deleted without sacrificing accuracy of theestimates 阅读全文
posted @ 2017-09-29 20:03 papering 阅读(459) 评论(0) 推荐(0)
ridge regression 无惩罚，导致预测结果空间过大而无实用价值
摘要： 【 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 阅读全文
posted @ 2017-09-29 17:45 papering 阅读(293) 评论(0) 推荐(0)
7 Types of Regression Techniques
摘要： https://www.analyticsvidhya.com/blog/2015/08/comprehensive-guide-regression/ Linear Regression Logistic Regression Polynomial Regression Stepwise Regr 阅读全文
posted @ 2017-09-29 16:39 papering 阅读(341) 评论(0) 推荐(0)
lasso the moon
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posted @ 2017-09-29 16:35 papering 阅读(136) 评论(0) 推荐(0)
Regularization: how complicated the model is? Regularization, measures complexity of model 使预测准确、平稳 predictive stable
摘要： http://www.kdd.org/kdd2016/papers/files/rfp0697-chenAemb.pdf https://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf 【Training Loss measures how w 阅读全文
posted @ 2017-09-29 16:16 papering 阅读(234) 评论(0) 推荐(0)
Bootstrap aggregating Bagging 合奏 Ensemble Neural Network
摘要： 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 阅读全文
posted @ 2017-09-29 14:35 papering 阅读(1433) 评论(0) 推荐(0)
stacked generalization 堆积正则化 堆积泛化 加权特征线性堆积
摘要： https://en.wikipedia.org/wiki/Ensemble_learning Stacking Stacking (sometimes called stacked generalization) involves training a learning algorithm to 阅读全文
posted @ 2017-09-29 11:52 papering 阅读(480) 评论(0) 推荐(0)
Facebook Gradient boosting 梯度提升 separate the positive and negative labeled points using a single line 梯度提升决策树 Gradient Boosted Decision Trees (GBDT)
摘要： 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 阅读全文
posted @ 2017-09-29 11:40 papering 阅读(389) 评论(0) 推荐(0)
Channel (digital image) 通道 色彩深度 Color_depth
摘要： en.wikipedia.org/wiki/Channel_(digital_image) Color digital images are made of pixels, and pixels are made of combinations of primary colors represent 阅读全文
posted @ 2017-09-29 10:57 papering 阅读(1329) 评论(0) 推荐(0)
顾客去哪家超市
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posted @ 2017-09-29 08:32 papering 阅读(139) 评论(0) 推荐(0)
常返态 瞬时态
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posted @ 2017-09-29 08:24 papering 阅读(421) 评论(0) 推荐(0)
马尔科夫链在第n步转移的状态的概率分布
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posted @ 2017-09-29 08:06 papering 阅读(307) 评论(0) 推荐(0)