883 search results - page 68 / 177 » Unsupervised learning in neural computation |
NIPS
2001
13 years 10 months ago
2001
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
TNN
2008
13 years 8 months ago
2008
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
SASO
2008
IEEE
14 years 3 months ago
2008
IEEE
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
ACL
2011
13 years 11 days ago
2011
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and...