28-09-2017, 06:41 PM
There is a fundamental error in using HMM models to try to detect vowels / consonants in the Voynich.
In layman's terms: garbage in, garbage out.
Since we don't know which is which, we can't train the algorithm and it is never anything better than a wild guess.
In brief, an HMM depends upon an observation curve. It outputs a prediction which can then be compared to reality within controlled parameters. The comptroller then adjusts the original HMM algorithm and sees if the new prediction is better.
Once the HMM is outputting data similar to the observation curve, it's let loose upon the unknown.
If you don't have an observation curve, you have no idea whether the information being returned is of any value.
In layman's terms: garbage in, garbage out.
Since we don't know which is which, we can't train the algorithm and it is never anything better than a wild guess.
In brief, an HMM depends upon an observation curve. It outputs a prediction which can then be compared to reality within controlled parameters. The comptroller then adjusts the original HMM algorithm and sees if the new prediction is better.
Once the HMM is outputting data similar to the observation curve, it's let loose upon the unknown.
If you don't have an observation curve, you have no idea whether the information being returned is of any value.