Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
We propose a comprehensive solution to handle memory-overflow problems in multitasking embedded systems thereby improving their reliability and availability. In particular, we pro...
The continuous increase of leakage power consumption
in deep sub-micro technologies necessitates more aggressive
leakage control. Runtime leakage control (RTLC) is effective,
si...