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摘要: Problem: clustering A clustering network transforms the data into another space and then selects one of the clusters. Next, the autoencoder associated 阅读全文
posted @ 2020-02-14 21:42 keeps_you_warm 阅读(218) 评论(0) 推荐(0) 编辑
摘要: 1. NLP/IR/DM/ML Conference Deadlines(Updating) Two Principles of Deadlines:1. All deadlines converge on the same day—Deadline Day.2. Every day is Dead 阅读全文
posted @ 2020-02-14 18:25 keeps_you_warm 阅读(1288) 评论(0) 推荐(1) 编辑
摘要: Problem: how to cluster non-stationary multivariate time series. What are stationary time series How to consider both global features and local featur 阅读全文
posted @ 2020-02-13 23:50 keeps_you_warm 阅读(126) 评论(0) 推荐(0) 编辑
摘要: 1. uncertainty aleatoric uncertainty 偶然不确定性 epistemic uncertainty 认知不确定性 2. probability VS likelihood Pr(data|distribution); L(distribution|data); The 阅读全文
posted @ 2020-02-13 00:43 keeps_you_warm 阅读(198) 评论(0) 推荐(0) 编辑
摘要: From Michael I. Jordan As with many phrases that cross over from technical academic fields into general circulation, there is significant misunderstan 阅读全文
posted @ 2020-02-12 17:42 keeps_you_warm 阅读(225) 评论(0) 推荐(0) 编辑
摘要: Problem: Design problem parameters consist of the search space of your model. Scientists design experiments to gain insights into physical and social 阅读全文
posted @ 2020-02-12 02:26 keeps_you_warm 阅读(333) 评论(0) 推荐(0) 编辑
摘要: probability VS likelihood: https://zhuanlan.zhihu.com/p/25768606 http://sdsy888.me/%E9%9A%8F%E7%AC%94-Writing/2018/%E4%BC%BC%E7%84%B6%EF%BC%88likeliho 阅读全文
posted @ 2020-02-12 01:26 keeps_you_warm 阅读(243) 评论(0) 推荐(0) 编辑
摘要: Instead of specifying a discrete sequence of hidden layers, we parameterize the derivative of the hidden state using a neural network. Before: a discr 阅读全文
posted @ 2020-02-12 01:21 keeps_you_warm 阅读(218) 评论(0) 推荐(0) 编辑
摘要: From: KU Leuven; ESAT-STADIUS比利时鲁汶大学 ?? How to model real-world multidimensional time series? especially, when these are sporadically observed data. ? 阅读全文
posted @ 2020-02-11 23:18 keeps_you_warm 阅读(351) 评论(0) 推荐(0) 编辑
摘要: What is a search problem: A solution to a search problem is a sequence of actions (a path) from s0 to a goal state. It is optimal if it has minimum su 阅读全文
posted @ 2020-02-11 15:52 keeps_you_warm 阅读(239) 评论(0) 推荐(0) 编辑
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