Trucking companies are doing a lot to keep their drivers safe and healthy even as the coronavirus pandemic has caused notable disruptions throughout...
(Submitted on 7 Apr 2020) Abstract: Diagnosing problems in Internet-scale services remains particularly difficult
and costly for both content providers and...
(Submitted on 6 Apr 2020) Abstract: Several studies point out different causes of performance degradation in
supervised machine learning. Problems such...
(Submitted on 6 Apr 2020) Abstract: Current state-of-the-art neural dialogue models learn from human
conversations following the data-driven paradigm. As such,...
Introduction The biggest issue facing machine learning is how to put the system into production. Machine learning systems differ from traditional software in two fundamental ways: Machine learning is never fully deterministic; therefore, the performance of an ML system can’t be evaluated against a strict specification. Instead, it should always be evaluated against application-specific metrics (false […]
