769 search results - page 21 / 154 » Bayesian Generalized Kernel Models |
CORR
2011
Springer
13 years 6 months ago
2011
Springer
We introduce a graphical framework for Bayesian inference that is sufficiently general to accommodate not just the standard case but also recent proposals for a theory of quantum...
AAAI
2012
12 years 1 months ago
2012
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
ICTAI
1994
IEEE
14 years 3 months ago
1994
IEEE
An object-oriented neural network simulator kernel is presented. It is based on a general mathematical model for arbitrary feedforward nets. We propose a C++ implementation of thi...
DASFAA
2011
IEEE
13 years 2 months ago
2011
IEEE
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...