David Touretzky Connectionist Approaches to Language Learning 9780792392163

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Автор: David Touretzky
Название: Connectionist Approaches to Language Learning
ISBN: 9780792392163
Издательство: Springer
Классификация:

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ISBN-10: 0792392167
Обложка/Формат: Hardcover
Страницы: 149
Вес: 0.40 кг.
Дата издания: 30.09.1991
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 234 x 156 x 11
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: arise automatically as a result of the recursive structure of the task and the continuous nature of the SRNs state space. Elman also introduces a new graphical technique for study- ing network behavior based on principal components analysis. He shows that sentences with multiple levels of embedding produce state space trajectories with an intriguing self- similar structure. The development and shape of a recurrent networks state space is the subject of Pollacks paper, the most provocative in this collection. Pollack looks more closely at a connectionist network as a continuous dynamical system. He describes a new type of machine learning phenomenon: induction by phase transition. He then shows that under certain conditions, the state space created by these machines can have a fractal or chaotic structure, with a potentially infinite number of states. This is graphically illustrated using a higher-order recurrent network trained to recognize various regular languages over binary strings. Finally, Pollack suggests that it might be possible to exploit the fractal dynamics of these systems to achieve a generative capacity beyond that of finite-state machines.

Connectionist Approaches to Language Learning, David Touretzky