Extreme Learning Machine: Learning Without Iterative Tuning

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18.07.23 – 2 3544:44
AI for Precision Health
Опубликовано 17 августа 2016, 0:37
Neural networks (NN) and support vector machines (SVM) play key roles in machine learning and data analysis. However, it is known that there exist some challenging issues with them such as intensive human intervene, slow learning speed, poor learning scalability. This talk will introduce a new learning technique referred to as Extreme Learning Machine (ELM). ELM not only learns up to tens of thousands faster than NN and SVMs, but also provides unified implementation for regression, binary and multi-class applications. ELM is efficient to time series, online sequential, incremental applications. ELM is efficient for large datasets.
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