850 search results - page 54 / 170 » Simultaneous Communication of Data and State |
NIPS
1998
14 years 10 days ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
SIGCSE
2008
ACM
13 years 9 months ago
2008
ACM
We present the design and development of a Visual Learning Engine, a tool that can form the basis for interactive development of visually rich teaching and learning modules across...
INFOCOM
2007
IEEE
14 years 5 months ago
2007
IEEE
— Multicast is an efficient means of transmitting the same content to multiple receivers while minimizing network resource usage. Applications that can benefit from multicast s...
CLEIEJ
2007
13 years 11 months ago
2007
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...