1136 search results - page 90 / 228 » Learning with Weighted Transducers |
CIKM
2005
Springer
14 years 2 months ago
2005
Springer
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
DNA
2005
Springer
14 years 2 months ago
2005
Springer
We introduce a class of generalized DNF formulae called wDNF or weighted disjunctive normal form, and present a molecular algorithm that learns a wDNF formula from training example...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
CEAS
2006
Springer
14 years 28 days ago
2006
Springer
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
IDEAL
2000
Springer
14 years 23 days ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...