Novel Machine Learning Methods for Extraction of Features Characterizing Datasets and Models
V.V. Vesselinov
AGU Fall meeting2018
Summary
This presentation covers novel robust machine learning methods for identification and extraction of unknown features in complex real-world data sets. It discusses the importance of robust methods in handling noisy and incomplete data, and how these methods can be applied to extract meaningful features from complex datasets.