A Multi-Tier Stacked Ensemble Algorithm to Reduce the Regret of Incremental Learning for Streaming Data

A Multi-Tier Stacked Ensemble Algorithm to Reduce the Regret of Incremental Learning for Streaming Data

Incremental Learning (IL) is an exciting paradigm that deals with classification problems based on a streaming or sequential data. IL aims to achieve the same level of prediction accuracy on streaming data as that of a batch learning model that has the opportunity to see the entire data at once. The...

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Bibliographic Details
Main Authors: R. Pari, M. Sandhya, Sharmila Sankar
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Incremental learning
stream data mining
ensemble learning
stacked generalization
stacked ensemble and classification accuracy
Online Access:https://ieeexplore.ieee.org/document/8452944/

Internet

https://ieeexplore.ieee.org/document/8452944/

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