Abstract. This paper describes an approach to providing object persistence in object-oriented programming languages without modifying the run-time system or the language itself. By...
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
This paper presents trainable methods for generating letter to sound rules from a given lexicon for use in pronouncing out-ofvocabulary words and as a method for lexicon compressi...
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Is there a general model that can predict the perceived phrase structure in language and music? While it is usually assumed that humans have separate faculties for language and mu...