chengsoonong / digbeta

Active learning for Big Data

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digbeta

Active learning for Big Data

Sub-projects

  • tour contains investigations on recommendations of tours, migrated to a new repository.
  • binary_reward contains a summary of theoretical results about kl-UCB and KL-UCB, which is implemented in python.
  • hmm_bandit contains a summary of ideas for using hidden Markov models for recommendation

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Active learning for Big Data

License:GNU General Public License v3.0


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Language:Jupyter Notebook 67.7%Language:TeX 22.0%Language:Python 10.3%Language:Shell 0.0%