Corpus ID: 12026494

Top-down particle filtering for Bayesian decision trees

@inproceedings{Lakshminarayanan2013TopdownPF,
  title={Top-down particle filtering for Bayesian decision trees},
  author={Balaji Lakshminarayanan and Daniel M. Roy and Y. Teh},
  booktitle={ICML},
  year={2013}
}
  • Balaji Lakshminarayanan, Daniel M. Roy, Y. Teh
  • Published in ICML 2013
  • Computer Science, Mathematics
  • Decision tree learning is a popular approach for classification and regression in machine learning and statistics, and Bayesian formulations--which introduce a prior distribution over decision trees, and formulate learning as posterior inference given data-- have been shown to produce competitive performance. Unlike classic decision tree learning algorithms like ID3, C4.5 and CART, which work in a top-down manner, existing Bayesian algorithms produce an approximation to the posterior… CONTINUE READING
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