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220922 ||| eng |
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|a 9780262256292
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020 |
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|a 0262256290
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050 |
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4 |
|a QA276.9
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100 |
1 |
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|a Grünwald, Peter D.
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245 |
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|a The minimum description length principle
|h Elektronische Ressource
|c Peter D. Grünwald
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260 |
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|a Cambridge, Mass.
|b MIT Press
|c 2007
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300 |
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|a xxxii, 703 pages
|b illustrations
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653 |
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|a Minimum description length (Information theory)
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653 |
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|a COMPUTER SCIENCE/Machine Learning & Neural Networks
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041 |
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7 |
|a eng
|2 ISO 639-2
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989 |
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|b MITArchiv
|a MIT Press eBook Archive
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490 |
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|a Adaptive computation and machine learning
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028 |
5 |
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|a 10.7551/mitpress/4643.001.0001
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856 |
4 |
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|u https://doi.org/10.7551/mitpress/4643.001.0001?locatt=mode:legacy
|x Verlag
|3 Volltext
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|a 003/.54
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520 |
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|a A comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is accessible to researchers dealing with inductive reference in diverse areas including statistics, pattern classification, machine learning, data min
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