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Artificial Intelligence based tool wear and defect prediction for special purpose milling machinery using low-cost acceleration sensor retrofits
Milling machines form an integral part of many industrial processing chains.
Who supervises the supervisor? Model monitoring in production using deep feature embeddings with applications to workpiece inspection
To this end, it is desirable to provide real-time tracking of a classifier's performance to inform about the putative onset of additional error classes and the necessity for manual intervention with respect to classifier re-training.
Learning Theory and Support Vector Machines - a primer
The main goal of statistical learning theory is to provide a fundamental framework for the problem of decision making and model construction based on sets of data.
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