On combining machine learning with decision making
We present a new application and covering number bound for the framework of "Machine Learning with Operational Costs (MLOC)," which is an exploratory form of decision theory. The MLOC framework incorporates knowledge about how a predictive model will be used for a subsequent task, thus com...
Main Authors: | , |
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Other Authors: | , , |
Format: | Article |
Language: | English |
Published: |
Springer US,
2016-06-16T21:04:26Z.
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Subjects: | |
Online Access: | Get fulltext |