4 search results - page 1 / 1 » Agnostic Learning versus Prior Knowledge in the Design of Ke... |
IJCNN
2007
IEEE
14 years 4 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
IJCNN
2007
IEEE
14 years 4 months ago
2007
IEEE
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
NN
2008
Springer
13 years 9 months ago
2008
Springer
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
JMLR
2006
13 years 9 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...