This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
In order to investigate the routing aspects of small-world networks, Kleinberg [13] proposes a network model based on a d-dimensional lattice with long-range links chosen at random...
Simulation and Emulation techniques are fundamental to aid the process of large-scale protocol design and network operations. However, the results from these techniques are often ...
David W. Bauer, Garrett R. Yaun, Christopher D. Ca...
Multitrajectory Simulation allows random events in a simulation to generate multiple trajectories. Management techniques have been developed to manage the choices of trajectories ...