%0 Journal Article %1 GDI0605scr %A Deschaine, Larry %C London %D 2006 %J GeoDrilling International %K Groundwater Landmines Source UXO algorithms, and genetic ordnance plumes, programming, unexploded zones, %N 122 %P 30--32 %T Using Information fusion, machine learning, and global optimisation to increase the accuracy of finding and understanding items interest in the subsurface %U http://www.mining-journal.com/gdi_magazine/pdf/GDI0605scr.pdf

@article{GDI0605scr, added-at = {2008-06-19T17:35:00.000+0200}, address = {London}, author = {Deschaine, Larry}, biburl = {https://www.bibsonomy.org/bibtex/2331decb80a88e17aadf6b49df2820ce7/brazovayeye}, interhash = {e41ce28c666ee23189ad9b19958c2b92}, intrahash = {331decb80a88e17aadf6b49df2820ce7}, journal = {GeoDrilling International}, keywords = {Groundwater Landmines Source UXO algorithms, and genetic ordnance plumes, programming, unexploded zones,}, month = May, notes = {SUMMARY Exploration in the subsurface is expensive and complex. By appropriately using analysis tools that synergistically exploit the information content of data and other information, better decisions can be made.}, number = 122, pages = {30--32}, size = {3 pages}, timestamp = {2008-06-19T17:38:38.000+0200}, title = {Using Information fusion, machine learning, and global optimisation to increase the accuracy of finding and understanding items interest in the subsurface}, url = {http://www.mining-journal.com/gdi_magazine/pdf/GDI0605scr.pdf}, year = 2006 }