Beyond Euclidean Space: Optimizing Hierarchical Data in Hyperbolic HSVMs

This story was originally published on HackerNoon at: https://hackernoon.com/beyond-euclidean-space-optimizing-hierarchical-data-in-hyperbolic-hsvms-gdqhwxx. Hyperbolic SVMs (HSVM) excel at hierarchical data but face non-convex optimization hurdles. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #hyperbolic-machine-learning, #hsvm-optimization, #non-convex-optimization, #support-vector-machines, #hierarchical-data-analysis, #semidefinite-relaxation, #lorentz-manifold-learning, #polynomial-optimization, and more. This story was written by: @hyperbole. Learn more about this writer by checking @hyperbole's about page, and for more stories, please visit hackernoon.com. Hyperbolic SVMs (HSVM) excel at hierarchical data but face non-convex optimization hurdles.