Merging weighted SVMs for parallel incremental learning

Neural Networks, pp. 25-38, 2018.

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Abstract:

Parallel incremental learning is an effective approach for rapidly processing large scale data streams, where parallel and incremental learning are often treated as two separate problems and solved one after another. Incremental learning can be implemented by merging knowledge from incoming data and parallel learning can be performed by m...More

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