Heteroscedastic Relevance Vector Machine

نویسندگان

  • Daniel Khashabi
  • Mojtaba Ziyadi
  • Feng Liang
چکیده

In this work we first propose a heteroscedastic generalization to RVM, a fast Bayesian framework for regression, based on some recent similar works. We use variational approximation and expectation propagation to tackle the problem. The work is still under progress and we are examining the results and comparing with the previous works.

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عنوان ژورنال:
  • CoRR

دوره abs/1301.2015  شماره 

صفحات  -

تاریخ انتشار 2013