(Enter summary)
Abstract: This paper is a case study of a long-term project studying the application
of machine learning to the problem of dispatching technicians to fix faults in
the local loop of a telephone network. The bottom line of the study is that
simple machine learning techniques can increase the effectiveness of local-loop
dispatch. However, presenting a convincing argument to that effect has been
far from simple. The case study shows how almost all of the complexity in this
application of machine learning is ... (Update)
Context of citations to this paper: More
...respect to interest rate in bank loans domain . 91 List of Tables 2. 1 An example cost matrix of NYNEX MAX domain [40]. 10 2.2 Cost matrix for which the optimal prediction is always C 1 and thus no learning is needed....
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F. J. Provost and A. P. Danyluk. A Study of Complications in Real-world Machine Learning. Available at http://citeseer.nj.nec.com/19634.html. http://citeseer.ist.psu.edu/provost96study.html More
@misc{ provost-study,
author = "F. Provost and A. Danyluk",
title = "A Study of Complications in Real-world Machine Learning",
text = "F. J. Provost and A. P. Danyluk. A Study of Complications in Real-world
Machine Learning. Available at http://citeseer.nj.nec.com/19634.html.",
url = "citeseer.ist.psu.edu/provost96study.html" }
Citations (may not include all citations):
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