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...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
International Machine Learning Society
2015
|
| Online Access: | http://hdl.handle.net/1721.1/92896 https://orcid.org/0000-0002-1925-2035 |