arXiv · 2004.13202
Learning Lines with Ordinal Constraints
Abstract
We study the problem of finding a mapping $f$ from a set of points into the real line, under ordinal triple constraints. An ordinal constraint for a triple of points $(u,v,w)$ asserts that $|f(u)-f(v)|<|f(u)-f(w)|$. We present an approximation algorithm for the dense case of this problem. Given an instance that admits a solution that satisfies $(1-\varepsilon)$-fraction of all constraints, our algorithm computes a solution that satisfies $(1-O(\varepsilon^{1/8}))$-fraction of all constraints, in time $O(n^7) + (1/\varepsilon)^{O(1/\varepsilon^{1/8})} n$.
Explore related subjects
Keep this discovery
Bohan Fan, Diego Ihara Centurion, Neshat Mohammadi, Francesco Sgherzi, Anastasios Sidiropoulos, Mina Valizadeh. 2020-04-27. Learning Lines with Ordinal Constraints. https://arxiv.org/abs/2004.13202
Cite the original work for its findings. Save a collection to share your selection of sources.