Detail

Publication date: 1 de June, 2021

Horn Representations of Uncertain Systems

The project aims to develop algorithms and techniques that can be useful to learn statistical relational representations from large databases. The output of this work will a set of freely available datasets: preferred domains are in Biology and in Social Networks; a methodology for ILP-based learning in these algorithms; a set of learning modules for SRL systems; and the systematic evaluation of all these techniques in the chosen datasets plus other well-known datasets.

Team

Salvador Abreu, Vitor Santos-Costa,

Sname HORUS
Reference PTDC/EIA-EIA/100897/2008
Funding Total 92812
Funding Center 17448
State Concluded
Startdate 01/01/2010
Enddate 01/12/2012