A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors

@inproceedings{Xie2017AQE,
  title={A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors},
  author={Zeke Xie and Issei Sato},
  booktitle={ACML},
  year={2017}
}
We propose a Quantum-Inspired Subspace(QIS) Ensemble Method for generating feature ensembles based on feature selections. We assign each principal component a Fraction Transition Probability as its probability weight based on Principal Component Analysis and quantum interpretations. In order to generate the feature subset for each base regressor, we select a feature subset from principal components based on Fraction Transition Probabilities. The idea originating from quantum mechanics can… CONTINUE READING
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