Machine Learning: Deepest Learning as Statistical Data Assimilation Problems
نویسندگان
چکیده
منابع مشابه
Machine Learning, Deepest Learning: Statistical Data Assimilation Problems
We formulate a strong equivalence between machine learning, artificial intelligence methods and the formulation of statistical data assimilation as used widely in physical and biological sciences. The correspondence is that layer number in the artificial network setting is the analog of time in the data assimilation setting. Within the discussion of this equivalence we show that adding more lay...
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The interdisciplinary field of Data Mining (DM) arises from the confluence of statistics and machine learning (artificial intelligence). It provides a technology that helps to analyze and understand the information contained in a database, and it has been used in a large number of fields or applications. Specifically, the concept DM derives from the similarity between the search for valuable in...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2018
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_01094