For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Temporal aggregation is a crucial operator in temporal databases and has been studied in various flavors. In instant temporal aggregation (ITA) the aggregate value at time instan...
Juozas Gordevicius, Johann Gamper, Michael H. B&ou...
This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...
Agents with partial observability need to share information to achieve decentralised coordination. However, in resource-constrained systems, indiscriminate communication can creat...
Partha Sarathi Dutta, Claudia V. Goldman, Nicholas...