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Found 2 papers, 1 papers with code
What can multi-cloud configuration learn from AutoML?
Multi-cloud computing has become increasingly popular with enterprises looking to avoid vendor lock-in.
SnapBoost: A Heterogeneous Boosting Machine
At each boosting iteration, their goal is to find the base hypothesis, selected from some base hypothesis class, that is closest to the Newton descent direction in a Euclidean sense.
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