Back to Results
First PageMeta Content
Statistical inference / Computational statistics / Gaussian process / Bayesian network / Normal distribution / Regression analysis / Bootstrapping / Kriging / Random variable / Statistics / Bayesian statistics / Graphical models


Fast Bayesian Network Structure Search Using Gaussian Processes Blake Anderson and Terran Lane University of New Mexico, Albuquerque NM 87131, USA Abstract. In this paper we introduce two novel methods for performing
Add to Reading List

Document Date: 2009-06-01 17:12:08


Open Document

File Size: 250,33 KB

Share Result on Facebook

Company

Intel / /

Country

United States / /

Facility

Terran Lane University of New Mexico / /

IndustryTerm

search point / unknown networks / scoring network / structure search algorithm / simplest local search strategy / image processing / score-based search algorithms / response surface algorithms / structure search / network structure search / final network / search landscape / search speed / search algorithm / local-score based search algorithm / response surface algorithm / local search strategies / search algorithms / /

OperatingSystem

Ubuntu / /

Organization

University of New Mexico / /

Person

Blake Anderson / /

/

Product

Weka / Core 2 Quad CPU 2.40 GHz / /

ProgrammingLanguage

K / /

ProvinceOrState

New Mexico / /

Technology

Hill Climbing structure search algorithm / bioinformatics / local-score based search algorithm / Hill Climbing algorithm / search algorithm / search algorithms / response surface algorithms / response surface algorithm / score-based search algorithms / native Hill Climbing algorithm / conventional Hill Climbing search algorithm / caching / machine learning / image processing / Gaussian Process Hill Climbing Algorithm / /

SocialTag