As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Linearizability is the strongest known consistency property of shared objects. In asynchronous message passing systems, Linearizability can be achieved with 3S and a majority of c...
Marco Serafini, Dan Dobre, Matthias Majuntke, P&ea...
Abstract. We study resource management in distributed systems. Incorrect handling of resources may lead to deadlocks, missed deadlines, priority inversions, and other forms of inco...