Bayesian networks originated as a framework for distributed reasoning. In singlyconnected networks, there exists an elegant inference algorithm that can be implemented in parallel having a processor f...
Perfect sampling allows exact simulation of random variables from the stationary measure of a Markov chain. By exploiting monotonicity properties of the slice sampler we show that a perfect version of...
In current medical research, a growing interest can be observed in the definition of a global therapy-evaluation framework which integrates considerations such as patients preferences and quality-of-l...
To construct accurate Internet maps, traceroute-based mapping efforts must group interface IP addresses into routers, a task known as alias resolution. In this paper, we introduce two new alias resolu...
Current algorithms to force the Complete State Coding (CSC) property for Signal Transition Graphs (STGs) work on the State Graph and, therefore require exponential time and space. Polynomial algorithm...
Current algorithms to force the Complete State Coding (CSC) property for Signal Transition Graphs (STGs) work on the State Graph and, therefore require exponential time and space. Polynomial algorithm...
Current algorithms to force the Complete State Coding (CSC) property for Signal Transition Graphs (STGs) work on the State Graph and, therefore require exponential time and space. Polynomial algorithm...