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About Deep Super Learner: A Deep Ensemble For Classification Problems
The document proposes a method called Deep Super Learner (DSL) that aims to achieve classification performance competitive with deep neural networks while using traditional machine learning algorithms. DSL is a hierarchical ensemble method that arranges traditional learners in multiple layers similar to a deep neural network. It finds optimal weights for the learners using cross-validation to minimize loss, allowing for performance that is at least as good as the best individual learner. Experimental results show DSL has superior performance compared to individual learners, single-layer ensembles, and in some cases deep neural networks.
Detailed Information
| Author: | ['vishesh goyal'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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