Unsupervised learning

This volume, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

שנה

1999

שפה

English

הוצאה

The MIT Press

מהדורות

5

עמודים

350

ISBN

9780262581684

מקור הנתונים: Wikidata