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Hi Greg,<br>
<br>
Well done, this sounds good. I think nobody has done this for the
current version of BEEBs. Munaaf and Craig used parts of BEEBs for
their MSc projects, but I think they did not check in "interim"
results such as the exctracted feature vectors. :(<br>
<br>
It might be worth "filing" the data you obtain from the feature
extraction for future machine learning exercises and also "for the
record". :)<br>
<br>
Best wishes,<br>
Kerstin<br>
<br>
<br>
<div class="moz-cite-prefix">On 27/07/2014 17:42, Greg Cawthorne
wrote:<br>
</div>
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cite="mid:CAN4+xokhk+mtwkBAoiXz7j4ymjQ=1oBcGQ8Q4c4f3tr23DgtGg@mail.gmail.com"
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<div>Hello team!<br>
<br>
</div>
I have been working on doing some Principle Component
Analysis of the features present in the current feature set.
I have created a program which is ready to be used to
evaluate beebs!<br>
<br>
Now I need a comprehensive set of feature vectors and which
program & function they came from (as we're doing it on
a function by function basis). Once I have this data I can
perform PCA and then see which features are the most
representative of the programs and also look to see if
different types of benchmark have distinctly different
important features.<br>
<br>
</div>
I believe this requires running the feature extractor across
all the current benchmarks. If anyone can or has already done
this and can send me the data it shall be appreciated.
Otherwise I shall have a look into it Monday!<br>
<br>
</div>
Regards, Greg.<br>
</div>
<br>
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