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Getting up to speed
     posted by vasvir, Wed 05 Jan 2005 04:49:29 PM UTC

A lot of work is underway to port old billnet functionality to the newer codebase. KNN, BFGS*, Conjugate Gradient*, Levenberg-Marquardt are already ported. FLF is splited to a library for the most part and the part continues for billnet 0.7

    .Bill

  • we have some numerical discrepancies here and there...
added aleco
     posted by vasvir, Wed 09 Apr 2003 09:46:59 PM UTC

ALECO (0 and 2) by S. J. Perantonis and D. Karras are the algorithms that pushed the first order gradient algorithms to the limit.

added back_prop
     posted by vasvir, Sun 06 Apr 2003 09:05:51 AM UTC

The back propagation family is the base of all gradient learning machines. The current billnet's implementation can be used with:
 -the cross entropy cost function
 -the online and offline type of learning
 -the sigmoid output function
 -the tanh output function (untested)

getting up to speed
     posted by vasvir, Sat 05 Apr 2003 07:14:22 PM UTC

We are slowly getting our scripts up to speed with savannah infrastructure. Hopefully more algorithms will follow soon.

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