Sparse Regression and Auto Regression model in Seismic Data Processing - Maxim Ryabinskiy

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications Tasks to build different kinds of regression models appear in seismic data processing very often. In particular, they are used to filter various types of noises, both regular and random. Today, the most common method of pro- cessing and analysis of seismic observation is a so-called reflection meth- od. It is assumed that all types of recorded waves, such as direct, surface, multi