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Kernel Methods for Nonparametric Bayesian Inference of Probability
 

Summary: Kernel Methods for Nonparametric
Bayesian Inference of Probability
Densities and Point Processes
Ryan Prescott Adams
S.B., Massachusetts Institute of Technology (2004)
St. John's College
University of Cambridge
This dissertation is submitted for the degree of
Doctor of Philosophy
Inference Group
Cavendish Laboratory
University of Cambridge
2009
ii
Declaration
I hereby declare that my dissertation entitled "Kernel Methods for Nonparametric
Bayesian Inference of Probability Densities and Point Processes" is not substantially
the same as any that I have submitted for a degree or diploma or other qualification at
any other University.
I further state that no part of my dissertation has already been or is being concurrently

  

Source: Adams, Ryan Prescott - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Computer Technologies and Information Sciences