Appeal No. 2002-0308
Application No. 09/106,784
APPENDIX
Claim 1
1. A program storage device readable by a machine, tangibly
embodying a program of instructions executable by the machine to
perform method steps for constructing a predictive model that can be
used to make predictions even when the values of some or all inputs are
missing or are otherwise unknown, the method comprising:
(1) presenting a collection of training data comprising examples
of input values that are available to the model together with
corresponding desired output value(s) that the model is intended to
predict;
(2) generating a plurality of subordinate models, that together
comprise an overall model, in such a way that:
a) each subordinate model has an associated set of
application conditions that must be satisfied in order to apply
the subordinate model when making predictions, the
application conditions comprising:
i) tests for missing values for all, some, or none of
the inputs,
and
ii) tests on the values of all, some, or none of the
inputs that are applicable when the values of the inputs
mentioned in the tests have known values;
and
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