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ACL
1994
13 years 9 months ago
A Markov Language Learning Model for Finite Parameter Spaces
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...
Partha Niyogi, Robert C. Berwick
AAAI
1992
13 years 8 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
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. ...
ISPA
2005
Springer
14 years 1 months ago
Near Optimal Routing in a Small-World Network with Augmented Local Awareness
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...
Jianyang Zeng, Wen-Jing Hsu, Jiangdian Wang
WSC
2004
13 years 9 months ago
A Case Study in Meta-Simulation Design and Performance Analysis for Large-Scale Networks
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...
WSC
2001
13 years 9 months ago
Study of an ergodicity pitfall in multitrajectory simulation
Multitrajectory Simulation allows random events in a simulation to generate multiple trajectories. Management techniques have been developed to manage the choices of trajectories ...
John B. Gilmer Jr., Frederick J. Sullivan