21 search results - page 4 / 5 » Recursive Neural Networks and Graphs: Dealing with Cycles |
ECAI
2000
Springer
13 years 9 months ago
2000
Springer
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
NN
1997
Springer
13 years 9 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
CLUSTER
2003
IEEE
13 years 10 months ago
2003
IEEE
We further increase the efficiency of Java RMI programs. Where other optimizing re-implementations of RMI use pre-processors to create stubs and skeletons and to create class spe...
NIPS
2004
13 years 6 months ago
2004
The formation of disulphide bridges among cysteines is an important feature of protein structures. Here we develop new methods for the prediction of disulphide bond connectivity. ...
INFOCOM
2010
IEEE
13 years 3 months ago
2010
IEEE
—Knowing accurate positions of nodes in wireless ad-hoc and sensor networks is essential for a wide range of pervasive and mobile applications. However, errors are inevitable in ...