2018
DOI: 10.1007/s12652-018-0994-x
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Parallel one-class extreme learning machine for imbalance learning based on Bayesian approach

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Cited by 23 publications
(12 citation statements)
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“…Results ensemble are mainly used to train models in different environments such as GPU [43], network [44], [45], and MapReduce [46]- [48] framework. And the results ensemble method is applied to kernel ELM [49]. In 2011, Heeswijk et al [43] proposed to combine multiple ELM into the inheritance model.…”
Section: ) Results Ensemblementioning
confidence: 99%
See 1 more Smart Citation
“…Results ensemble are mainly used to train models in different environments such as GPU [43], network [44], [45], and MapReduce [46]- [48] framework. And the results ensemble method is applied to kernel ELM [49]. In 2011, Heeswijk et al [43] proposed to combine multiple ELM into the inheritance model.…”
Section: ) Results Ensemblementioning
confidence: 99%
“…In order to build an ensemble classifier of kernel ELM, Li et al [49] proposed a parallel one-class ELM algorithm (P-ELM) based on bayesian method. P-ELM divides the training data set into k components according to class attributes, and then uses the divided training data set to train k kernel-based one-class ELM classifiers, finally, uses the bayesian method to compare the output function values of one-class P-ELM classifier based on kernel.…”
Section: ) Results Ensemblementioning
confidence: 99%
“…In practice, gas utilization ratio (GUR), a conversion ratio of CO to CO 2 , is an important indicator to measure the operating state and energy consumption [26]. If the burden surface profile is reasonable, the chemical reactions are sufficient, the gas utilization degree will be high.…”
Section: B Primary Production Objectives Of Bf Ironmaking Processmentioning
confidence: 99%
“…The universal approximation capability of ELM has been proved theoretically [36], [37]. Due to the above advantages, ELM has been widely used in many fields [38]- [40].…”
Section: A Process Model Based On Apso-elmmentioning
confidence: 99%