Existing statistical approaches to natural language problems are very coarse approximations to the true complexity of language processing. As such, no single technique will be bes...
Peter D. Turney, Michael L. Littman, Jeffrey Bigha...
Abstract. We present the results of UMBC’s participation in the Web and Novelty tracks. We explored various heuristics-based link analysis approaches to the Topic Distillation ta...
Srikanth Kallurkar, Yongmei Shi, R. Scott Cost, Ch...
When the amount of information in visualization becomes large enough, users can not perceive all elements at the same time. This problem can be solved by removing parts of the inf...
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
This paper reports the results of experiments in complex Arabic phonetic features identification using a rulebased system (SARPH) and modular connectionist architectures. The firs...