nips6 paper on ss-anova in archive

Grace Wahba wahba at stat.wisc.edu
Thu Feb 3 20:42:28 EST 1994


Dear Colleagues
  Our paper for the 1993 Neural Information Processing 
Society (NIPS) Proceedings is in the neuroprose archive 
under

wahba.nips6.ps.Z

Title: Structured Machine Learning For `Soft' Classification 
with Smoothing Spline ANOVA and Stacked Tuning, Testing
and Evaluation. 

Authors: G. Wahba, Y. Wang, C. Gu, R. Klein and B. Klein

              Summary

We describe the use of smoothing spline analysis of variance 
(SS-ANOVA) in the penalized log likelihood context, 
for learning (estimating) the probability 
$p$ of a `$1$' outcome, given a training set with 
attribute vectors and 0-1 outcomes.
$p$ is of the form $p(t) = e^{f(t)}/(1+e^{f(t)})$, where, 
if $t$ is a vector of attributes, $f$ is learned as a sum of smooth 
functions of one attribute plus a sum of smooth functions 
of two attributes, etc. The smoothing parameters governing 
$f$ are obtained by an iterative unbiased risk or iterative GCV method. 
Confidence intervals for these estimates are available. 
The method is applied to estimate the risk of progression 
of diabetic retinopathy given predictor variables of 
age, body mass index and glycosylated hemoglobin.

RETRIEVAL INSTRUCTIONS for NEUROPROSE ARCHIVE

    % ftp archive.cis.ohio-state.edu
    Name (cheops.cis.ohio-state.edu:yourname): anonymous
    Password: (use your email address)
    ftp> cd pub/neuroprose
    ftp> binary
    ftp> get wahba.nips6.ps.Z
    ftp> quit
    % uncompress wahba.nips6.ps.Z 
    % lpr wahba.nips6.ps

Some other papers of yours truly, friends and students, 
and an idiosyncratic bibliography of possible interest 
to connectionists are available by ftp. Get the (ascii)
file Contents to see what's there.

RETRIEVAL INSTRUCTIONS for WAHBA's public directory

    % ftp ftp.stat.wisc.edu
    Name (ftp.stat.wisc.edu:yournamehere): anonymous
    Password: (use your email address)
    ftp> binary
    ftp> cd pub/wahba
    ftp> get Contents
          ...
read Contents and retrieve files of interest



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