On 11/17/2017 04:19 PM, Michael Duncan wrote:
thanks, nil! i might try to implement something for the URE. if ENF is
disabled in MOSES, how would that affect performance?
It depends on the problem.
The thing is, if DNF is enabled, then there is little learning required
because an optimal, though gigantic, DNF can be inferred from the data,
then learning consists of pruning this giant DNF to reach an adequate
trade-off between fitness of data and simplicity.
Nil
On Fri, Nov 17, 2017 at 4:50 PM, Nil Geisweiller
<[email protected] <mailto:[email protected]>> wrote:
Hi Mike,
I'm not aware of any code doing that on the AtomSpace's end.
Yidnekachew Wondimu is developing a URE-base reduct engine may
ultimately be able to do that sort of things, but it might take a
while before it's ready.
Alternatively, I think there's a way you could tweak MOSES to output
models in DNF, by disabling ENF reduction and enabling some
experimental flags. I have forgotten the details of that but, if
that seems worthwhile to you, I can dig that up.
Nil
On 11/17/2017 03:03 PM, Michael Duncan wrote:
i want to convert moses models from elegant normal form to
disjunctive normal form to get a set of conjunctions whose
features can then be used for inference against background
knowledge.
for instance, if a model is converted to DNF and has the clause:
(and geneV ~geneW geneX ~geneY ~geneZ)
then maybe a pathway with geneV and geneX is active in the case
vs the control phenotype,
or a pathway with geneW, geneY, and geneZ is active the control
vs case phenotype.
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