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Mar 2, 2018 at 19:07 comment added Jan Kukacka Also related thread: stats.stackexchange.com/questions/28057/…
Apr 13, 2017 at 12:44 history edited CommunityBot
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Aug 27, 2016 at 19:17 vote accept Tim
Jul 6, 2016 at 13:20 comment added Robert de Graaf Based on @StephenKolassa's answer, another question you could spin off this one is 'At what point should I take my work so far back to the subject matter experts and discuss my results (or lack of results)?'
Jul 6, 2016 at 12:20 answer added Gavin Potter timeline score: 18
Jul 6, 2016 at 7:55 answer added Christian Sauer timeline score: 98
Jul 5, 2016 at 19:46 comment added Tim @Superbest it can be both. If you have something to add, feel free to answer. I never heard of theorem that states anything about dealing with real-life multidimensional noisy data, but if you know one that applies, then I'd be interested to read your answer.
Jul 5, 2016 at 19:43 comment added Matthew Gunn This sounds similar to the classic halting problem of computer science? Let's say you have some algorithm A of arbitrary complexity which searches over input data D looking for predictive models, and the algorithm halts when it finds a "good" model for the data. Without adding significant structure on A and D, I don't see how you could tell whether A will ever halt given input D, how you can tell whether A will eventually succeed or continue searching forever?
Jul 5, 2016 at 19:40 comment added Superbest This problem can be answered in practical terms (as @StephanKolassa did) or in absolute terms (some sort of theorem that shows a given model can learn a problem iff certain conditions are satisfied). Which one do you want?
Jul 5, 2016 at 18:16 history edited Tim CC BY-SA 3.0
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Jul 5, 2016 at 11:03 history tweeted twitter.com/StackStats/status/750284061395001344
Jul 5, 2016 at 9:46 history edited Tim CC BY-SA 3.0
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Jul 5, 2016 at 9:01 answer added Stephan Kolassa timeline score: 352
Jul 5, 2016 at 8:30 history edited Tim
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Jul 5, 2016 at 8:22 history asked Tim CC BY-SA 3.0