摘要: 参考: L1 Norm Regularization and Sparsity Explained for Dummies 专为小白解释的文章,文笔十分之幽默 减少feature的数量可以防止over fitting,尤其是在特征比样本数多得多的情况下。 L1就二维而言是一个四边形(L1 norm 阅读全文
posted @ 2018-04-07 19:02 Life·Intelligence 阅读(2814) 评论(0) 推荐(0) 编辑
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posted @ 2018-04-07 16:13 Life·Intelligence 阅读(96) 评论(0) 推荐(2) 编辑
摘要: 背景:We developed a cell-cycle scoring approach that uses expression data to compute an index for every cell that scores the cell according to its expre 阅读全文
posted @ 2018-04-07 14:27 Life·Intelligence 阅读(1091) 评论(0) 推荐(0) 编辑
摘要: 比对 The raw Drop-seq data was processed with the standard pipeline (Drop-seq tools version 1.12 from McCarroll laboratory). Reads were aligned to the E 阅读全文
posted @ 2018-04-07 14:27 Life·Intelligence 阅读(4979) 评论(0) 推荐(0) 编辑
摘要: 参考: 模式识别与机器学习(一):概率论、决策论、信息论 Decision Theory - Principles and Approaches 英文图书 What are the best beginners books about decision theory? - Quora Statist 阅读全文
posted @ 2018-04-07 00:25 Life·Intelligence 阅读(501) 评论(0) 推荐(0) 编辑
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