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» Learning with Temporary Memory
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ICML
2009
IEEE
14 years 1 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
HICSS
2008
IEEE
151views Biometrics» more  HICSS 2008»
14 years 1 months ago
A Conceptual Framework of Transactive Networks System
A virtual organization is a temporary network of companies, which implies the potential opportunity to learn and share abundant sources of complementary and compatible knowledge p...
Sheng-cheng Lin, Yu-Min Wang, Daniel Y. Shee
NN
2008
Springer
153views Neural Networks» more  NN 2008»
13 years 6 months ago
A biologically motivated visual memory architecture for online learning of objects
We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that impl...
Stephan Kirstein, Heiko Wersing, Edgar Körner
ACL
2003
13 years 8 months ago
Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning
This paper proposes a hybrid of handcrafted rules and a machine learning method for chunking Korean. In the partially free word-order languages such as Korean and Japanese, a smal...
Seong-Bae Park, Byoung-Tak Zhang
WCAE
2006
ACM
14 years 20 days ago
Web memory hierarchy learning and research environment
Learning the various structures and levels of memory hierarchy by means of conventional procedures is a complex subject. A memory hierarchy environment (Web-MHE) was proposed and ...
José Leandro D. Mendes, Luiza M. N. Coutinh...