摘要： Problem: unsupervised anomaly detection Model: VAE-reEncoder VAE with two encoders and one decoder. They use bidirectional bow-tie LSTM for each part. 阅读全文

摘要： Problem: unsupervised anomaly detection for seasonal KPIs in web applications. Donut: an unsupervised anomaly detection algorithm based on VAE. Backgr 阅读全文

摘要： “pattern driven” (PD) is based on enumerating candidate patterns in a given solution space and picking out the ones with high fitness; 阅读全文

摘要： 1. a heuristic function h(n): a heuristic value of n, that is the estimated cost of reaching goal from n. 2. How to design heuristics? properties of a 阅读全文

摘要： Problem: unsupervised clustering represent data in feature space; learn a non-linear mapping from data space X to feature space Z. Problem formulation 阅读全文

摘要： Problem: TSC, time series classification; Traditional TSC: find global similarities or local patterns/subsequence(shapelet). We extract statistical fe 阅读全文

摘要： From: 虽然今天的主题是早睡早起，但是细想就会发现这是关于时间管理、关于一个习惯怎么养成。 1. 早起的重要性 所以如果您今天明白了早起，那减肥、跑步……任何坚持您都能明白。早起不仅仅是一个习惯，而是一种生活，它跟一天的状态有关。它意味着幸福感、时间、精力、效率、精神状态。网上有早起不一定有科学 阅读全文

摘要： Problem: new loss Label: new loss; Abstract: A differentiable learning loss; Introduction: supervised learning: learn a mapping that links an input to 阅读全文

摘要： from here 论文Timeseries data mining（2012）中提出：时间序列数据挖掘包括7个基本任务和3个基础问题： 7 tasks: query by content clustering classification segmentation?? prediction ano 阅读全文

摘要： From: Yoshua Bengio Problem: time series forecasting. Supplementary knowledge: 1. what is meta-learning: https://www.zhihu.com/question/264595128 2. w 阅读全文