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+--- Thread: Paths to Decipherment (/thread-4244.html)
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RE: Paths to Decipherment - asteckley - 24-04-2024
(24-04-2024, 12:22 AM)pjburkshire wrote: You are not allowed to view links. Register or Login to view.[quote="asteckley" pid='59113' dateline='1713912207']
... so two groups of training materials need to be identified.
I think your direction of thinking is a good one. But one has to determine what the framing of the problem should be. And I'm not sure what you have in mind there.
Not all machine learning involves the following type of training data, but its still helpful to describe my point in this way:
- One has many "examples" (training cases) that include an input set of data and an output "answer".
- Once trained, one can then give it the data representing the Voynich, and it will predict the answer for the Voynich case. ("predict" can be a misleading word, but just means it converting the input data. into the output answer).
You seem to be suggesting approaches to segmenting the kinds of data - and doing so with more and better data than Kondrak used -- but what are you thinking that the input sets of data and the answer produced actually represent?
RE: Paths to Decipherment - pjburkshire - 24-04-2024
RE: Paths to Decipherment - R. Sale - 24-04-2024
RE: Paths to Decipherment - HermesRevived - 25-04-2024
RE: Paths to Decipherment - pjburkshire - 25-04-2024
RE: Paths to Decipherment - tavie - 25-04-2024
RE: Paths to Decipherment - pjburkshire - 25-04-2024
RE: Paths to Decipherment - nablator - 29-04-2024
RE: Paths to Decipherment - pjburkshire - 29-04-2024