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Mechanized Significance and Machine Learning: Why It Became Thinkable and Preferable to Teach Machines to Judge the World
The slow and uneven forging of a novel constellation of practices, concerns, and values that became machine learning occurred in 1950s and 1960s pattern recognition research through attempts to mechanize contextual significance that involved building “learning machines” that imitated human judgment...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702253/ http://dx.doi.org/10.1007/978-3-030-56286-1_2 |