Learning ELM-tree from big data based on uncertainty reduction

DOI10.1016/j.fss.2014.04.028zbMath1335.68213OpenAlexW2041328702MaRDI QIDQ277424

Jian Zhang, Fang-Fang Ou, Chi-Yin Chow, Yu-Lin He, Ran Wang

Publication date: 29 April 2016

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2014.04.028

zbMATH Keywords

decision treebig data classificationELM-treeextreme learning machineuncertainty reduction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Extreme learning machines on high dimensional and large data applications: a survey ⋮ Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks

Uses Software

• UCI-ml
• SPRINT
• C4.5
• PLANET

Cites Work

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• Knowledge discovery in databases: PKDD 2005. 9th European conference on principles and practice of knowledge discovery in databases, Porto, Portugal, October 3--7, 2005. Proceedings
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• Using model trees for classification
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• On the handling of fuzziness for continuous-valued attributes in decision tree generation
• A survey of cost-sensitive decision tree induction algorithms
• MEASURES OF UNCERTAINTY AND INFORMATION BASED ON POSSIBILITY DISTRIBUTIONS
• Functional trees
• Logistic model trees

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