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SUMMARY:Sparsification for Gaussian Processes for Regression - Milica Gasi
 c and Anton Ragni
DTSTART:20100318T140000Z
DTEND:20100318T153000Z
UID:TALK22282@talks.cam.ac.uk
CONTACT:Shakir Mohamed
DESCRIPTION:In this talk we will give an introduction to Gaussian Processe
 s with the focus on their application to Regression. Since the computation
 al complexity is one of the main problems when dealing with Gaussian Proce
 sses\, we will give an overview of sparsification methods.\n\nReferences\n
 Rasmussen\, C. E. and Williams\, C. K. 2005 Gaussian Processes for Machine
  Learning (Adaptive Computation and Machine Learning). The MIT Press.\, 2n
 d Chapter\n\nQuiñonero-Candela\, J. and Rasmussen\, C. E. 2005. A Unifyin
 g View of Sparse Approximate Gaussian Process Regression. J. Mach. Learn. 
 Res. 6 (Dec. 2005)\, 1939-1959.
LOCATION:Engineering Department\, CBL Room 438
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