keeps_you_warm - 博客园

2020年1月30日

摘要： here. 7个问题第一，What’s the problem? 你要做的这个问题是什么？一句话就应该回答。任何一个问题都可以在任意短的时间内，向任何人讲到你希望达到的程度。如果你没有做到，不是因为你做的问题很高精尖，是你的功夫下的不够。例如我在听一个报告，五分钟还没有听懂他在说什么，不是因为我笨阅读全文

posted @ 2020-01-30 21:30 keeps_you_warm 阅读(341) 评论(0) 推荐(1)

normalization flow

摘要： from Eric Jang Normalizing flows transform simple densities (like Gaussians) into rich complex distributions that can be used for generative models, R 阅读全文

posted @ 2020-01-30 20:46 keeps_you_warm 阅读(292) 评论(0) 推荐(0)

PP: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

摘要： PROBLEM: OmniAnomaly multivariate time series anomaly detection + unsupervised 主体思想： input: multivariate time series to RNN > capture the normal patte 阅读全文

posted @ 2020-01-30 00:44 keeps_you_warm 阅读(1574) 评论(0) 推荐(0)

PP: Multi-Horizon Time Series Forecasting with Temporal Attention Learning

摘要： Problem: multi-horizon probabilistic forecasting tasks; Propose an end-to-end framework for multi-horizon time series forecasting, with temporal atten 阅读全文

posted @ 2020-01-30 00:08 keeps_you_warm 阅读(957) 评论(0) 推荐(0)

2020年1月29日

Attention machenism

摘要： from attention mechanism Attention is one component of a network’s architecture, and is in charge of managing and quantifying the interdependence. Bet 阅读全文

posted @ 2020-01-29 17:43 keeps_you_warm 阅读(229) 评论(0) 推荐(0)

PP: Modeling extreme events in time series prediction

摘要： KDD: Knowledge Discovery and Data Mining (KDD) Insititute: 复旦大学，中科大 Problem: time series prediction; modelling extreme events; overlook the existence 阅读全文

posted @ 2020-01-29 02:43 keeps_you_warm 阅读(516) 评论(0) 推荐(0)

2020年1月28日

Learn from Niu 2020.1.28

摘要： 1. 泛读和精度的区别和迭代：泛读： 1个月之内，读50篇论文，进行粗读，了解多维时间序列信号，有哪些research problem, challenges, research groups, research people. 之后进行精度：了解方法细节，如何建立的模型，模型和reality之阅读全文

posted @ 2020-01-28 21:29 keeps_you_warm 阅读(123) 评论(0) 推荐(0)

Big research problems (1)

摘要： 1. how to measure the uncertainty of prediction model or data analysis? 2. 阅读全文

posted @ 2020-01-28 16:39 keeps_you_warm 阅读(101) 评论(0) 推荐(0)

2020年1月27日

PP: UMAP: uniform manifold approximation and projection for dimension reduction

摘要： From Tutte institute for mathematics and computing Problem: dimension reduction Theoretical foundations: At a high level, UMAP uses local manifold app 阅读全文

posted @ 2020-01-27 23:13 keeps_you_warm 阅读(1074) 评论(0) 推荐(0)

Dimension reduction

摘要： materials: 1. Dimension Reduction - IsoMap 阅读全文

posted @ 2020-01-27 22:27 keeps_you_warm 阅读(148) 评论(0) 推荐(0)

公告