[comp.ai.neural-nets] Help!

hjingyi@unccvax.uncc.edu (Hu Jingyi) (07/08/90)

Dear Sir/Madam :

I have a question about the Levenshtein distance. in "Self-Organization and
Associative Memory" book (page 67, 4 lines) T.Kohonen written:

weighted Levenshtein distance  WLD(A,B) = min{pa(i) + qb(i) + rc(i)}   (2.93)

where the coefficients p, q, and r may be obtained from the so-called
confusion matrix of the alphabet, as the inverse probability for particular
type of error to occur.

Could you help me to get the p, q, and r confusion matrix of the alphabet?
I want use the distance for some words matching processing application.

Thanks a lot.

Regard
Hu Jingyi

csuyk@warwick.ac.uk (FUNG Wai Wa) (07/21/90)

Hi, netters,

Would anyone out there kindly tell me how I can get the following paper?

        T. Sejnowski and C.R.Rosenberg
        "NETtalk : A parallel Network that learns to read aloud"

Is there a ftp site for it?

Many thanks.


W.W. FUNG

shers@masala.lcs.mit.edu (Alex Sherstinsky) (06/02/91)

I am trying to understand Kohonen's 1982 paper in Bio-Cybernetics.  I need
to understand it urgently ASAP so I can finish writing an exam paper.  I 
thought I understood it, but now realize I am very confused as to how his
scheme really works (first 3 figures and first three equations). If someone 
who knows what I am talking about is willing to help, could you please
let me know how to contact you (preferable by phone, since this is really
urgent).  Thanks very much!
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|Alexander The Great Sherstinsky|me    |shers@masala.lcs.mit.edu|To become as  |
|Alexander Semyon Sherstinsky   |myself|shers@masala.lcs.mit.edu|refined person|
|Alex Sherstinsky               |I     |shers@masala.lcs.mit.edu|as possible.  |