Hi, Here is a very good summary of quantization theory. R.M. Gray and D.L. Neuhoff, "Quantization," IEEE Transactions on Information Theory, vol. 44, pp. 2325-2384, Oct. 1998
I also have a question about the quantization method for Bayesian network learning applications. Since we prefer a node in BN to have few quantization levels (maybe <6, otherwise the structure will be too complicated and the data required for accurate learning will be huge), so how to decide this quantization level? For example, a node represents the age with continuous value for 0 to 90? Thanks, R. Chen Mi Hyun Park <[EMAIL PROTECTED]> 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 - --------------------------------- Do you Yahoo!? Yahoo! SiteBuilder - Free, easy-to-use web site design software - --0-1447661433-1063040936=:47494 Content-Type: text/html; charset=us-ascii <DIV>Hi,<BR>Here is a very good summary of quantization theory.<BR>R.M. Gray and D.L. Neuhoff, "Quantization," IEEE Transactions on Information Theory, vol. 44, pp. 2325-2384, Oct. 1998<BR>I also have a question about the quantization method for Bayesian network learning applications. Since we prefer a node in BN to have few quantization levels (maybe <6, otherwise the structure will be too complicated and the data required for accurate learning will be huge), so how to decide this quantization level? For example, a node represents the age with continuous value for 0 to 90?<BR>Thanks,<BR>R. Chen <BR><BR><B><I>Mi Hyun Park <[EMAIL PROTECTED]></I></B> wrote: <BLOCKQUOTE class=replbq style="PADDING-LEFT: 5px; MARGIN-LEFT: 5px; BORDER-LEFT: #1010ff 2px solid">Dear UAI Collegues,<BR><BR>I am working with Bayesian networks in image processing. Would you give me<BR>some help on data discretization (or quantization) methods? The methods<BR>I've used were equal interval, equal frequency, and standard deviation for<BR>discretization. It would be very helpful if somebody gives me references<BR>on this matter and other proposed methodologies (or free software for<BR>test). If there is an outstanding or recommended method, please let me<BR>know.<BR><BR>Thank you,<BR><BR>Mi-Hyun</BLOCKQUOTE></DIV><p><hr SIZE=1> Do you Yahoo!?<br> <a href="http://us.rd.yahoo.com/evt=10469/*http://sitebuilder.yahoo.com";>Yahoo! SiteBuilder</a> - Free, easy-to-use web site design software - --0-1447661433-1063040936=:47494-- ------- End of Forwarded Message
