In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
-- Software is increasing in size and complexity. As a direct implication, organizations nd it more difficult to achieve the desired product quality. Process improvement models are...
Abstract In the scientific literature, it is generally assumed that models can be completely established before the diagnosis analysis. However, in the actual maintenance problems,...
The Sensor Web as an open complex adaptive system exhibits many characteristic that are common to selforganising systems. One of the characteristics of the Sensor Web is that of s...