<< ctxmodel.net
> > context modelling. > Ah... Unfortunately there's no time on my (very slow) target platform for that.
There is time on any platform, depending on the implementation.
Although imho the whole idea of Markov Model convergence is misleading. I mean, it really has sense only for a determinated state machine, but is commonly applied to the cases where probability "converges" to some value far from 0 or 1, and that is considered "stationary". But how it can be truly stationary if the data was generated from a pretty much determinated source (like eg. executables are) and the probability distribution looks like some curve only because the context is far from what it should be. So that's why there're no real stationary data and probability distributions can only be locally optimal.
And btw
Well, I just wanted to say that
> Or Context Mixing! (As noted at LTCB) > Context Modeling is really wide term: PPM, CM, CTW, ...
Well, I do agree with the last line.
Btw, I don't have any foundations but feel that "modeling" is something different from "modelling". 2013-08-09 00:25:29 >2014-11-26 21:45:35 >2015-01-11 20:43:43 > |