Design is an interactive and iterative process where the designer's skills and knowledge are fused with emotive rationales aided by design tools.
Sensor fusion to realize dependability requirements: The ability to observe and extract information using sensors may vary across the physical space of the CPS system; exploiting this knowledge to fuse information from multiple sensors to provide an aggregate estimate of the sensed values can result in increased confidence in the result, i.e., improved information reliability.
While high risk for implementing properly, the knowledge rewards from fusing more detailed and leading theories from economics, cultural studies, sociology and political science via complex adaptive systems methods can be substantial.
Enlightened by the ripe patterns, this article puts forward a knowledge fusion approach, which fuses online human knowledge, prior knowledge, and computational knowledge by using evolutionary computation to fully explore the advantages of human and computers.
A natural extension of the described method can be incorporation of a-priori knowledge from sources like protein-protein interactions databases and fusing the knowledge with existing regulatory networks to make the inferred networks much more reliable, and we are pursuing this objective.
Trumpeter Miles Davis suggested that he instead "make a name" for himself by fusing his knowledge of jazz and African song.
Our second contribution is an hybrid architecture which copes with the main issues observed in the case analysis by fusing the knowledge from the aforementioned three cues and a temporal difference algorithm.
A committee machine, a new type of neural network, has a parallel architecture that fuses knowledge by combining the individual outputs of its experts to arrive at an overall output.
Arbitration is another operator to fuse knowledge bases that has been introduced in the early Nineties.
In this talk, I present research on probabilistic methods that address the challenges of modeling online dialogue by making interrelated inferences and fusing noisy domain knowledge with statistical signals.
