This paper presents Clusterfile, a parallel file system that provides parallel file access on a cluster of computers. Existing parallel file systems offer little control over matc...
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
We address the problem of mapping a set of processes which communicate synchronously on a distributed platform. The Time Triggered Architecture (TTA) proposed by Kopetz for the co...
Albert Benveniste, Paul Caspi, Marco Di Natale, Cl...
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...