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December 14, Wednesday
12:00 – 13:00

Multi-Scale Approximation and Extension of Functions with Applications in Data Analysis
Computer Science seminar
Lecturer : Neta Rabin
Lecturer homepage : https://sites.google.com/site/rabinneta/
Affiliation : Applied Math Department, Yale University
Location : 202/37
Host : Dr. Aryeh Kontorovich
We will introduce a “learning” multi-scale iterative process for data analysis. This process approximates a task related function that is defined on a given data-set by using the geometric structures of the data in different scales. The constructed multi-scale representation can be easily extended to new data points. We will provide a number of examples including classification and regression, extension of non-linear embedding coordinates, and forecasting time series.