Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
: This paper presents a network mapping algorithm and proves its correctness assuming a traffic-free network. Respecting well-defined parameters, the algorithm produces a graph iso...
Brent N. Chun, Alan M. Mainwaring, Saul Schleimer,...
As multimedia applications spread widely, it is crucial for programming and design support systems to handle "time" in multimedia documents effectively and flexibly. This...
Junehwa Song, Michelle Y. Kim, G. Ramalingam, Raym...
This paper discusses the problems of pin-level fault injection for dependability validation and presents the architecture of a pin-level fault injector called RIFLE. This system ca...
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...