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  • From: Mukul Gandhi <gandhi.mukul@g...>
  • To: "Costello, Roger L." <costello@m...>
  • Date: Wed, 14 Mar 2018 11:35:54 +0530

Hi Roger,

On Tue, Mar 13, 2018 at 10:19 PM, Costello, Roger L. <costello@m...> wrote:
Hi Folks,

Scenario: A bunch of XML instance documents are fed into a machine learning program. The program analyzes the instances to learn the structure of the items, which items are mandatory, and which items are optional. Out pops an XML Schema.

Question: Has anyone created an XML Schema generating machine learning program?

I think, this would be a nice machine learning research example (i.e determining an XML Schema, given sample XML documents). I wish this could be computed by machine learning techniques. Incidentally these days I'm studying an online Machine Learning course from Coursera (Stanford University). They primarily talk about following three methods to solve machine learning problems: Linear (and non linear) regression, Logistic regression & neural networks. From what I've learnt from this course so far, it seems we can't solve the XML Schema problem via the mentioned known machine learning methods (its not trivial to map XML document information; by string values, or hashes to a machine learning model, either three I've mentioned).



--
Regards,
Mukul Gandhi


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