Semi-supervised machine learning approaches for predicting the chronology of archaeological sites: A case study of temples from medieval Angkor, Cambodia
<p>via PLOS One, 5 Nov 2018: A cool new Open Access paper by Klassen et al. using machine learning to create a predictive chronology of Angkorian temples based on the architectural features and artifacts found at a site.</p>
<p>The post <a rel="nofollow" href="
You are not allowed to view links.
Please Register or Login">Semi-supervised machine learning approaches for predicting the chronology of archaeological sites: A case study of temples from medieval Angkor, Cambodia[/url] appeared first on <a rel="nofollow" href="
You are not allowed to view links.
Please Register or Login">SEAArch - Southeast Asian Archaeology[/url].</p><div class="feedflare">
You are not allowed to view links.
Please Register or Login
<img src="[url]http://feeds.feedburner.com/~ff/seaarch?d=yIl2AUoC8zA
" border="0"></img>[/url]
You are not allowed to view links.
Please Register or Login
<img src="[url]http://feeds.feedburner.com/~ff/seaarch?d=qj6IDK7rITs
" border="0"></img>[/url]
You are not allowed to view links.
Please Register or Login
<img src="[url]http://feeds.feedburner.com/~ff/seaarch?i=-DUDOYsE-fM:lIPPGrurf3U:F7zBnMyn0Lo
" border="0"></img>[/url]
You are not allowed to view links.
Please Register or Login
<img src="[url]http://feeds.feedburner.com/~ff/seaarch?i=-DUDOYsE-fM:lIPPGrurf3U:gIN9vFwOqvQ
" border="0"></img>[/url]
</div><img src="
You are not allowed to view links.
Please Register or Login" height="1" width="1" alt=""/>
You are not allowed to view links.
Please Register or Login
Linkback: You are not allowed to view links.
Please Register or Login
http://www.thunting.com/smf/index.php/topic,67838.msg326003.html#msg326003
|
|
Logged
|
This message has been posted by our automatic Treasure in the News Feed
|