An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Most existing methods for registration of three-dimensional tomographic images to two-dimensional projection images use simulated projection images and either intensity-based or fe...
State machine based formalisms such as labelled transition systems (LTS) are generally assumed to be complete descriptions m behaviour at some level of abstraction: if a labelled ...
Thread-level speculation (TLS) is a technique that allows parts of a sequential program to be executed in parallel. TLS ensures the parallel program's behaviour remains true ...
Increases in peak current draw and reductions in the operating voltages of processors continue to amplify the importance of dealing with voltage fluctuations in processors. Noise-...
Meeta Sharma Gupta, Krishna K. Rangan, Michael D. ...