Back to Results
First PageMeta Content
Mineral exploration / Prospectivity mapping / Ore / Iron ore / Pilbara craton / Mineral resource classification / Economic geology / Geology / Yilgarn Craton


Building a machine learning classifier for iron ore prospectivity in the Yilgarn Craton Andrew S. Merdith Thomas C.W. Landgrebe
Add to Reading List

Document Date: 2015-03-22 19:31:07

Open Document

File Size: 2,08 MB

Share Result on Facebook

City

Canberra / Cambridge / Perth / Yilgarn Craton / Reading / New York / /

Company

Merdith A. S. / Australian Technology Park / Penney / /

Country

Australia / /

Currency

IDR / /

/

Facility

Geosciences University of Sydney / Massachusetts Institute of Technology / University of Sydney / /

IndustryTerm

classification algorithm / machine learning algorithms / vision systems / data-mining approach / spatio-temporal data mining approach / dimensionality reduction algorithms / data mining / mining / Artificial neural networks / pre-processing / learning algorithms / /

NaturalFeature

mountain Deception / Mt Gould / mountain Jackson / Extension Hill / Mt Jackson / /

Organization

University of Sydney / School of Geosciences Cooperative / Science Industry Endowment Fund / Massachusetts Institute of Technology / School of Geosciences / Australian Research Council / /

Person

Taylor Range / Duda / Gedeon / /

Position

Mineralogist / Fisher data projection / representative / producer / T. D. / /

ProvinceOrState

Western Australia / Tasmania / Massachusetts / /

PublishedMedium

Machine Learning / Molecular Biology / /

Region

west Western Australia / Western Australia / /

Technology

machine learning algorithms / data mining / machine learning / classification algorithm / using machine learning algorithms / dimensionality reduction algorithms / Gaussians algorithm / /

URL

http /

SocialTag