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An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions.

David J. MillerYanxin ZhangGuoqiang YuYongmei LiuLi ChenCarl D. LangefeldDavid M. HerringtonYue Joseph Wang
Published in: Bioinform. (2009)
Keyphrases
  • maximum entropy
  • learning algorithm
  • probability models
  • objective function
  • image processing
  • active learning
  • supervised learning
  • segmentation algorithm
  • parameter estimation
  • bayesian framework
  • probabilistic model