Corpus ID: 15830203

Efficient Locally Weighted Polynomial Regression Predictions

@inproceedings{Moore1997EfficientLW,
  title={Efficient Locally Weighted Polynomial Regression Predictions},
  author={A. Moore and J. Schneider and Kan Deng},
  booktitle={ICML},
  year={1997}
}
Locally weighted polynomial regression (LWPR) is a popular instance-based algorithm for learning continuous non-linear mappings. [...] Key Method The paper begins with a new, faster, algorithm for exact LWPR predictions. Next we introduce an approximation that achieves up to a two-ordersof-magnitude speedup with negligible accuracy losses. Increasing a certain approximation parameter achieves greater speedups still, but with a correspondingly larger accuracy degradation. This is nevertheless useful during…Expand
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Locally Weighted Learning for Control. Accepted for publication in AI Review
  • Locally Weighted Learning for Control. Accepted for publication in AI Review
  • 1997
Locally Weighted Learning. AI Review
  • Locally Weighted Learning. AI Review
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