— This paper describes work in progress to extend component models to support Master-Worker applications and to let them to be executed on Grid infrastructures. The proposed appr...
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
Numerical applications frequently contain nested loop structures that process large arrays of data. The execution of these loop structures often produces memory preference pattern...
Yoji Yamada, John Gyllenhall, Grant Haab, Wen-mei ...
There is growing interest in run-time detection as parallel and distributed systems grow larger and more complex. This work targets run-time analysis of complex, interactive scien...