1235 search results - page 2 / 247 » Learning with Idealized Kernels |
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
UAI
2004
13 years 8 months ago
2004
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...