Abstract Nowadays, most of the energy-aware real-time scheduling algorithms belong to the DVFS (Dynamic Voltage and Frequency Scaling) framework. These DVFS algorithms are usually ...
We present an efficient generalization of the sparse pseudo-input Gaussian process (SPGP) model developed by Snelson and Ghahramani [1], applying it to binary classification pro...
Abstract. We propose a web annotation system which adds the functionality of stickies to web pages and creates bidirectional links between the stickies. The stickies allow for impo...
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
To study PP attachment disambiguation as a benchmark for empirical methods in natural language processing it has often been reduced to a binary decision problem (between verb or n...