Zobrazeno 1 - 10
of 97
pro vyhledávání: '"HRUSCHKA, EDUARDO R."'
Publikováno v:
In Digital Signal Processing December 2019 95
Publikováno v:
In Neurocomputing 17 September 2019 358:150-165
Unsupervised models can provide supplementary soft constraints to help classify new target data under the assumption that similar objects in the target set are more likely to share the same class label. Such models can also help detect possible diffe
Externí odkaz:
http://arxiv.org/abs/1211.2304
Unsupervised models can provide supplementary soft constraints to help classify new, "target" data since similar instances in the target set are more likely to share the same class label. Such models can also help detect possible differences between
Externí odkaz:
http://arxiv.org/abs/1206.0994
This paper introduces a privacy-aware Bayesian approach that combines ensembles of classifiers and clusterers to perform semi-supervised and transductive learning. We consider scenarios where instances and their classification/clustering results are
Externí odkaz:
http://arxiv.org/abs/1204.4521
Autor:
da Silva, Nádia Félix Felipe, Coletta, Luiz F.S., Hruschka, Eduardo R., Hruschka Jr., Estevam R.
Publikováno v:
In Information Sciences 10 August 2016 355-356:348-365
Publikováno v:
In Decision Support Systems October 2014 66:170-179
Publikováno v:
In Information Sciences 2011 181(18):3766-3782
Autor:
Senger, Hermes, Hruschka, Eduardo R., Silva, Fabrício A.B., Sato, Liria M., Bianchini, Calebe P., Jerosch, Bruno F.
Publikováno v:
In The Journal of Systems & Software 2007 80(5):778-790
Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach
Publikováno v:
In Neurocomputing 2006 70(1):384-397