atlas

Research map / Graph learning / Graph algorithms and clustering

Structured Prediction Theory Based on Factor Graph Complexity

NeurIPS 2016 · Graph learning › Graph algorithms and clustering · approach: Graph embedding and spectral sparsification · 30 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
apply VRM-based complexity weighting (VCRF) instead of standard CRFstructured prediction on part-of-speech datasets · POS datasetsaccuracyHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy