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Stacked Generalization for Human Activity Recognition

Machine Learning 2020-09-23 v1
Authors: Ambareesh Ravi
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Abstract

This short paper aims to discuss the effectiveness and performance of classical machine learning approaches for Human Activity Recognition (HAR). It proposes two important models - Extra Trees and Stacked Classifier with the emphasize on the best practices, heuristics and measures that are required to maximize the performance of those models.

Keywords

human activity recognition machine learning information retrieval

Cite

@article{arxiv.2009.10312,
  title  = {Stacked Generalization for Human Activity Recognition},
  author = {Ambareesh Ravi},
  journal= {arXiv preprint arXiv:2009.10312},
  year   = {2020}
}

Comments

A short paper

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