Carl Edward Rasmussen
homepage:http://www.kyb.tuebingen.mpg.de/~carl
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Description

Dr Carl Rasmussen is a Lecturer in the Machine Learning Group, Department of Engineering, University of Cambridge.  He has very broad interests in probabilistic inference in machine learning, covering both unsupervised, supervised and reinforcement learning. He is particularly interested in design and evaluation of non-parametric methods such as Gaussian processes and Dirichlet processes.  


Lectures:

tutorial
flag Bayesian inference and Gaussian processes
as author at  Machine Learning Summer School (MLSS), Tübingen 2007,
77916 views
  tutorial
flag Gaussian Processes
as author at  Machine Learning Summer School (MLSS), Cambridge 2009,
58814 views
lecture
flag Learning with Gaussian Processes
as author at  EPSRC Winter School in Mathematics for Data Modelling, Sheffield 2008,
50424 views
  lecture
flag Gaussian Processes
as author at  Machine Learning Summer School (MLSS), Tübingen 2003,
20182 views
lecture
flag Interpreting Covariance Functions & Classification
as author at  Gaussian Processes in Practice Workshop, Bletchley Park 2006,
11330 views