Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Sleep Learning - An Incremental Learning System Inspired by Sleep Behavior-

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yamauchi, K. ; Hokkaido Univ. of Kita-ku, Sapporo ; Hayami, J.

Sleep is very important to our lives. For example, we cannot learn/memorize new experiences well without sleep. This suggests that the sleep is very important for our learning and memory. Although sleep is seemingly biological system-specific constraint, a sleep-like period is often needed for artificial learning systems. This paper describes the cases in which a sleep-like period, when the system stops learning new instances, is needed for refining the internal representation of knowledge in incremental/online learning tasks. Through several benchmark tests, we show that the incremental learning system with sleep (ILS) proposed by the authors generates a more compact data model than those of other incremental learning systems, that do not always need a sleep-like period.

Published in:

Fuzzy Systems, 2006 IEEE International Conference on

Date of Conference:

0-0 0