572 search results - page 21 / 115 » Estimating the Accuracy of Learned Concepts |
FOCI
2007
IEEE
15 years 4 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
106
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ICMLA
2007
14 years 11 months ago
2007
For both single probability estimation trees (PETs) and ensembles of such trees, commonly employed class probability estimates correct the observed relative class frequencies in e...
77
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ECML
2007
Springer
15 years 3 months ago
2007
Springer
Averaged One-Dependence Estimators (AODE) classifies by uniformly aggregating all qualified one-dependence estimators (ODEs). Its capacity to significantly improve naive Bayes...
74
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AUSAI
2005
Springer
15 years 3 months ago
2005
Springer
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
ECAI
2008
Springer
14 years 11 months ago
2008
Springer
Knowledge elicitation is known to be a difficult task and thus a major bottleneck in building a knowledge base. Machine learning has long ago been proposed as a way to alleviate th...