Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Emergent self-organization in multi-agent systems appears to contradict the second law of thermodynamics. This paradox has been explained in terms of a coupling between the macro ...
The conventional weighted aggregation method is extended to realize multi-objective optimization. The basic idea is that systematically changing the weights during evolution will l...
With the ongoing advancements in VLSI technology, the performance of an embedded system is determined to a large extend by the communication of data and instructions. This results...
This paper presents DisAC-9, the first optimal distributed algorithm performing the arc-consistency of a constraint network. Our method is optimal according to the number of messa...