Many knowledge management (KM) systems have proven unsustainable to date, exhibiting low quantities and quality of knowledge, with systems falling into disuse. In this paper, we p...
This paper deals with multiprocessor systems required to provide both high performance and good figures of dependability attributes. Fault tolerance is pursued through a proper co...
Felicita Di Giandomenico, Silvano Chiaradonna, And...
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
Polymorphous computer-based systems are systems in which the CPU architecture “morphs” or changes shape to meet the requirements of the application. Optimized and efficient de...
Brandon Eames, Ted Bapty, Ben Abbott, Sandeep Neem...