Systems and Methods for Machine Learning in Hyperbolic Space

摘要

Generally, the present disclosure provides systems and methods for performing machine learning in hyperbolic space. Specifically, techniques are provided which enable the learning of a classifier (e.g., large-margin classifier) for data defined within a hyperbolic space (e.g., which may be particularly beneficial for data that possesses a hierarchical structure).