112 search results - page 8 / 23 » Selective generation of training examples in active meta-lea... |
NAACL
2003
15 years 1 months ago
2003
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
GECCO
2010
Springer
15 years 4 months ago
2010
Springer
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
109
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SAC
2003
ACM
15 years 4 months ago
2003
ACM
The construction of a text classifier usually involves (i) a phase of term selection, in which the most relevant terms for the classification task are identified, (ii) a phase ...
ICPR
2006
IEEE
16 years 22 days ago
2006
IEEE
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
100
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NPL
1998
14 years 11 months ago
1998
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...