Exact Estimation of Multiple Directed Acyclic Graphs
Machine Learning
2014-11-13 v3
Abstract
This paper considers the problem of estimating the structure of multiple related directed acyclic graph (DAG) models. Building on recent developments in exact estimation of DAGs using integer linear programming (ILP), we present an ILP approach for joint estimation over multiple DAGs, that does not require that the vertices in each DAG share a common ordering. Furthermore, we allow also for (potentially unknown) dependency structure between the DAGs. Results are presented on both simulated data and fMRI data obtained from multiple subjects.
Cite
@article{arxiv.1404.1238,
title = {Exact Estimation of Multiple Directed Acyclic Graphs},
author = {Chris J. Oates and Jim Q. Smith and Sach Mukherjee and James Cussens},
journal= {arXiv preprint arXiv:1404.1238},
year = {2014}
}
Comments
Revised version - 12/11/14