Machine Learning - Software to learn file formats by example -


my program can read several dozen file formats, using traditional approach write procedural code each file format. of these formats have own unique loader library, own bugs, own limitations, , whole thing huge time sink me. i'd support ton of other formats, they're not worth time because they're not popular enough.

i'd replace existing loaders single loader powered file format descriptor. i'm has created software learn file formats example. existing loaders make excellent fitness functions formats, , can write fitness functions new formats too.

my question is, software can use "learn" file formats example, , how can convert "learning" descriptor use generic loader?

unless limit in massive ways, don't think you're far. ideal beyond current state of art. arbitrary formats, cannot this, example if give 200 jpgs,pngs,bmps , gifs highly unlikely learning system can learn formats.

here problems researchers have looked at:


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