24 search results - page 5 / 5 » Connecting the Out-of-Sample and Pre-Image Problems in Kerne... |
SIAMAM
2008
13 years 4 months ago
2008
Neural fields are an interesting option for modelling macroscopic parts of the cortex involving several populations of neurons, like cortical areas. Two classes of neural field equ...
BMCBI
2007
13 years 4 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
TIP
2008
13 years 4 months ago
2008
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...