Structure discovery in nonparametric regression through compositional kernel search

Despite its importance, choosing the structural form of the kernel in nonparametric regression remains a black art. We define a space of kernel structures which are built compositionally by adding and multiplying a small number of base kernels. We present a method for searching over this space of st...

Full description

Bibliographic Details
Main Authors: Duvenaud, David (Author), Lloyd, James Robert (Author), Grosse, Roger Baker (Contributor), Tenenbaum, Joshua B. (Contributor), Ghahramani, Zoubin (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: International Machine Learning Society, 2015-01-15T19:04:48Z.
Subjects:
Online Access:Get fulltext