I'm interested in learning a bit more about the details of how GNU's
neural net was trained, and in particular what was done differently
compared to other neural nets. I found Oystein Johansen's paper from
December 2007 on the GNUBG website. It credits Joseph Heled with the main
ideas, and points to his website, but the only links I could find to
Heled's website were all dead. Is there any way I can obtain more
documentation about what Heled did?
Also, to what extent is Heled's original work still present in GNU 1.x?
Was Heled's work mostly superseded by new ideas when the net was
retrained?
Tim
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