By the same authors

GOBNILP: Globally Optimal Bayesian Network learning using Integer Linear Programming

Research output: Non-textual formSoftware

Standard

GOBNILP : Globally Optimal Bayesian Network learning using Integer Linear Programming. Cussens, James (Developer); Bartlett, Mark (Developer). 2013.

Research output: Non-textual formSoftware

Harvard

Cussens, J & Bartlett, M, GOBNILP: Globally Optimal Bayesian Network learning using Integer Linear Programming, 2013, Software. <http://www.cs.york.ac.uk/aig/sw/gobnilp/>

APA

Cussens, J. (Developer), & Bartlett, M. (Developer). (2013). GOBNILP: Globally Optimal Bayesian Network learning using Integer Linear Programming. Software http://www.cs.york.ac.uk/aig/sw/gobnilp/

Vancouver

Cussens J (Developer), Bartlett M (Developer). GOBNILP: Globally Optimal Bayesian Network learning using Integer Linear Programming 2013.

Author

Cussens, James (Developer) ; Bartlett, Mark (Developer). / GOBNILP : Globally Optimal Bayesian Network learning using Integer Linear Programming. [Software].

Bibtex - Download

@misc{4036afe550bf45dbb15a95101c922f44,
title = "GOBNILP: Globally Optimal Bayesian Network learning using Integer Linear Programming",
abstract = "GOBNILP (Globally Optimal Bayesian Network learning using Integer Linear Programming) is a C program which learns Bayesian networks from complete discrete data or from local scores. The GOBNILP distribution provides a separate C program to generate BDeu local scores from complete discrete data. GOBNILP uses the SCIP framework for Constraint Integer Programming.",
author = "James Cussens and Mark Bartlett",
year = "2013",
language = "English",

}

RIS (suitable for import to EndNote) - Download

TY - ADVS

T1 - GOBNILP

T2 - Globally Optimal Bayesian Network learning using Integer Linear Programming

A2 - Cussens, James

A2 - Bartlett, Mark

PY - 2013

Y1 - 2013

N2 - GOBNILP (Globally Optimal Bayesian Network learning using Integer Linear Programming) is a C program which learns Bayesian networks from complete discrete data or from local scores. The GOBNILP distribution provides a separate C program to generate BDeu local scores from complete discrete data. GOBNILP uses the SCIP framework for Constraint Integer Programming.

AB - GOBNILP (Globally Optimal Bayesian Network learning using Integer Linear Programming) is a C program which learns Bayesian networks from complete discrete data or from local scores. The GOBNILP distribution provides a separate C program to generate BDeu local scores from complete discrete data. GOBNILP uses the SCIP framework for Constraint Integer Programming.

M3 - Software

ER -