This paper gives an overview of the error sources in the solution of DAEs and discusses how different algorithms use tolerances to control these errors. The tolerance models of th...
Abstract. In this paper we explore the similarities between a mathematical model of language evolution and several A-life simulations. We argue that the mathematical model makes so...
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
We pose the development of cognitively plausible models of human language processing as a challenge for computational linguistics. Existing models can only deal with isolated phen...
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...