In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...
We study the convergence behavior of the Active Mask (AM) framework, originally designed for segmenting punctate image patterns. AM combines the flexibility of traditional active...
Doru-Cristian Balcan, Gowri Srinivasa, Matthew C. ...
Abstract We propose an approach to certify the information flow security of multi-threaded programs independently from the scheduling algorithm. A scheduler-independent verificatio...
Iterative decoding was not originally introduced as the solution to an optimization problem rendering the analysis of its convergence very difficult. In this paper, we investigate...
It is frequently suggested that predictions made by game theory could be improved by considering computational restrictions when modeling agents. Under the supposition that player...