@inproceedings{d0b3744a4e88421b8d93806a6de3eab2,
title = "A neural network for speedy trials",
abstract = "In recent years, the case loads of judges have increased, while speedy trial laws place a time limit between the defendant's arrest and trial dates. Because of this time constraint, it seems that for minor cases, judges pass sentences based on a set of certain factors (patterns) not based on the individual merits of each case. Patterns may be learned by a neural network. In this paper, we investigate the credibility of the neural network approach as a viable tool in the sentencing process and we show its superiority over the ID3 approach.",
keywords = "Computer in courts, Computerized sentencing, Intelligent systems, Neural networks, Speedy trial",
author = "Hashemi, {Ray R.} and Schafer, {Therese M.} and Hinson, {William G.} and Talburt, {John R.}",
year = "1996",
month = feb,
day = "18",
doi = "10.1145/331119.331426",
language = "English",
series = "Proceedings of the ACM Symposium on Applied Computing",
publisher = "Association for Computing Machinery",
pages = "468--472",
editor = "Carroll, {Janice H.} and George, {K. M.} and Jim Hightower and Dave Oppenheim",
booktitle = "Proceedings of the 1996 ACM Symposium on Applied Computing, SAC 1996",
address = "United States",
note = "1996 ACM Symposium on Applied Computing, SAC 1996 ; Conference date: 17-02-1996 Through 19-02-1996",
}