Machine Learning and ELM
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Scope of this subject
This cluster of papers focuses on the theory, applications, and advancements in Extreme Learning Machines (ELM), a machine learning framework based on feedforward neural networks with random hidden nodes. The papers cover topics such as incremental learning, classification, regression, ensemble methods, kernel-based models, and their applications in various domains.
OpenAlex generated this cluster description with an LLM. It describes research grouping, not verified findings.
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Research vocabulary
extreme learning machine; single hidden layer neural network; broad learning system; online sequential extreme learning machine; random vector functional link network; hidden node selection; twin support vector regression; online sequential learning; regularized extreme learning machine; epsilon-insensitive loss; incremental extreme learning machine; single-layer feedforward neural network; weighted extreme learning machine; least squares twin support vector machine; random vector functional link; hierarchical extreme learning machine
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No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 38285307342359635 · morton4x16-v1
Coordinates: (3, 17, 1702, 12676). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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