431 search results - page 42 / 87 » Learning to use episodic memory |
AIRS
2010
Springer
13 years 6 months ago
2010
Springer
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
IPPS
2006
IEEE
14 years 3 months ago
2006
IEEE
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
SDM
2012
SIAM
11 years 11 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Spacecraft increasingly employ onboard data analysis to inform further data collection and prioritization decisions. However, many spacecraft operate in high-radiation environment...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...