98 search results - page 1 / 20 » Bayesian model choice based on Monte Carlo estimates of post... |
CSDA
2006
13 years 4 months ago
2006
UAI
2001
13 years 6 months ago
2001
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
MA
2010
Springer
13 years 3 months ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
AAAI
2006
13 years 6 months ago
2006
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
NIPS
2008
13 years 6 months ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...