554 search results - page 52 / 111 » Variable selection using neural-network models |
JMLR
2010
14 years 4 months ago
2010
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
AAAI
2007
15 years 2 days ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
NN
2006
Springer
14 years 9 months ago
2006
Springer
Many of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be im...
115
click to vote
NEUROSCIENCE
2001
Springer
15 years 2 months ago
2001
Springer
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
102
click to vote
ECAI
2010
Springer
14 years 7 months ago
2010
Springer
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...