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On the Limit Performance of Floating Gossip
In this paper we investigate the limit performance of Floating Gossip, a new, fully distributed Gossip Learning scheme which relies on Floating Content to implement location-based probabilistic evolution of machine learning models in an infrastructure-less manner.
SQLR: Short-Term Memory Q-Learning for Elastic Provisioning
As more and more application providers transition to the cloud and deliver their services on a Software as a Service (SaaS) basis, cloud providers need to make their provisioning systems agile enough to meet Service Level Agreements.
A Novel Hyperparameter-free Approach to Decision Tree Construction that Avoids Overfitting by Design
Decision trees are an extremely popular machine learning technique.
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