An Empirical Study of the Use of Relevance Information in Inductive Logic Programming
Ashwin Srinivasan and Ross D. King and Michael E. Bain

An Empirical Study of the Use of Relevance Information in Inductive Logic Programming.pdf 97.69kB
Type: Paper
Tags:

Metadata: 
@article{4:16,author={Ashwin Srinivasan and Ross D. King and Michael E. Bain}, Title={An Empirical Study of the Use of Relevance Information in Inductive Logic Programming},journal={Journal of Machine Learning Research},volume={4}, url={http://www.jmlr.org/papers/volume4/srinivasan03a/srinivasan03a.pdf}}
Citation:
Srinivasan, A., King, R. D., & Bain, M. E.. (2014). An Empirical Study of the Use of Relevance Information in Inductive Logic Programming [Data set]. Academic Torrents. https://academictorrents.com/details/9ca794dc4c0c8a6bfce301172ab3aa72b499bd1c
Compute download stats
Related Torrents
Report
Send Feedback Start
   0.000008
DB Connect
   0.000512
Lookup hash in DB
   0.000568
Get torrent details
   0.000554
Get torrent details, finished
   0.000361
Get authors
   0.000001
Select authors
   0.000209
Parse bibtex
   0.000105
Write header
   0.000421
get stars
   0.000110
home tab
   0.000131
render right panel
   0.000006
render ads
   0.000405
fetch current hosters
   0.000241
related datasets
   0.001272
Done