I’m glad you mentioned the repair cycle of tools. There are some tools that are regularly repaired (let’s just call them “Big Tools”) and some that aren’t (“Little Tools”). Both are expensive at first and to repair, but it seems the Print Shops chose to repair Big Tools because they were subject to breakage that significantly reduced performance.
I should add another twist since you mentioned sheets of known origins: Assume that we can only decisively assign origins to single sheets. There are two problems stemming from this assumption: first, not all relevant Marks are left on such sheets; second, very few single sheet publications survive. Collations greater than one sheet are subject to all of the problems of the Big Book.
I’m most interested in the distinction between unsupervised and supervised learning. And I will very likely PM you to learn more about machine learning. Again, thanks for your help!
EDIT: I just noticed a mistake in your summary. Each sheet is produced by a set of tools, not a single tool. Each mark is produced by a single tool.
I just noticed a mistake in your summary. Each sheet is produced by a set of tools, not a single tool. Each mark is produced by a single tool.
Okay. Are the classes of marks distinct by tool type- that is, if I see a mark on a sheet, I know whether it came from tool type X or tool type Y- or do we need to try and discover what sort of marks the various tools can leave?
That’s a hell of a summary, thanks!
I’m glad you mentioned the repair cycle of tools. There are some tools that are regularly repaired (let’s just call them “Big Tools”) and some that aren’t (“Little Tools”). Both are expensive at first and to repair, but it seems the Print Shops chose to repair Big Tools because they were subject to breakage that significantly reduced performance.
I should add another twist since you mentioned sheets of known origins: Assume that we can only decisively assign origins to single sheets. There are two problems stemming from this assumption: first, not all relevant Marks are left on such sheets; second, very few single sheet publications survive. Collations greater than one sheet are subject to all of the problems of the Big Book.
I’m most interested in the distinction between unsupervised and supervised learning. And I will very likely PM you to learn more about machine learning. Again, thanks for your help!
EDIT: I just noticed a mistake in your summary. Each sheet is produced by a set of tools, not a single tool. Each mark is produced by a single tool.
Okay. Are the classes of marks distinct by tool type- that is, if I see a mark on a sheet, I know whether it came from tool type X or tool type Y- or do we need to try and discover what sort of marks the various tools can leave?
Fortunately, we know which tool types leave which marks. We also have a very strong understanding of the ways in which tools break and leave marks.
Thanks again for entertaining this line of inquiry.