This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadth...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
One of the primary challenges in embedded system design is designing the memory hierarchy and restructuring the application to take advantage of it. This task is particularly impo...
The Gamma language is based on the chemical reaction metaphor which has a number of benefits with respect to parallelism and program derivation. But the original definition of G...
This paper describes a new design methodology to analyze the on-chip power supply noise for high performance microprocessors. Based on an integrated package-level and chip-level p...