Dear Hyun, here's some pointers:
@InProceedings{frigol96b,
author = "Nir Friedman and Moises Goldszmidt",
title = "Discretization of Continuous Attributes While Learning
{B}ayesian Networks",
crossref = "ml96",
editor = "L. Saitta",
pages = "157--165",
booktitle = "Proceedings of 13-th International Conference on
Machine Learning",
year = 1996,
annote = "http://HTTP.CS.Berkeley.EDU/~nir/publications.html";
}
@InProceedings{moncoo98a,
author = "Stefano Monti and Gregory F. Cooper",
title = "A Multivariate discretization method for learning
{B}ayesian networks from mixed data",
booktitle = "Proceedings of 14th Conference of Uncertainty in AI",
year = 1998,
pages = "404--413",
address = "Madison, WI",
URL =
"http://www-genome.wi.mit.edu/personal/smonti/html/publications/uai98.html";,
eprint =
"http://www-genome.wi.mit.edu/personal/smonti/html/publications/uai98.ps.gz";
}
@InProceedings{moncoo99b,
author = "Stefano Monti and Gregory F. Cooper",
title = "A Latent Variable Model for Multivariate discretization",
booktitle = "7-th International Workshop on AI and Statistics",
year = 1999,
pages = "249--254",
address = "Fort Lauderdale, FL",
URL =
"http://www-genome.wi.mit.edu/personal/smonti/html/publications/ais99.html";,
eprint =
"http://www-genome.wi.mit.edu/personal/smonti/html/publications/ais99.ps.gz";
}
@PhdThesis{monti99,
author = "Stefano Monti",
title = "Learning Hybrid {B}ayesian Networks from Data",
school = "Intelligent Systems Program, University of Pittsburgh",
year = 1999,
month = "August",
URL =
"http://www-genome.wi.mit.edu/personal/smonti/html/publications/dissertation.htm";,
eprint =
"http://www-genome.wi.mit.edu/personal/smonti/html/publications/phd.ps.gz";
}
Best,
-- ste
Mi Hyun Park wrote:
>Dear UAI Collegues,
>
>I am working with Bayesian networks in image processing. Would you give me
>some help on data discretization (or quantization) methods? The methods
>I've used were equal interval, equal frequency, and standard deviation for
>discretization. It would be very helpful if somebody gives me references
>on this matter and other proposed methodologies (or free software for
>test). If there is an outstanding or recommended method, please let me
>know.
>
>Thank you,
>
>Mi-Hyun
>
>
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