727 search results - page 40 / 146 » On Bayesian model and variable selection using MCMC |
144
click to vote
ALDT
2011
Springer
13 years 9 months ago
2011
Springer
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
AUSAI
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. In the philosophy of behavior-based robotics, design of complex behavior needs the interaction of basic behaviors that are easily implemented. Action selection mechanism ...
118
click to vote
ESOP
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
WSC
2004
14 years 11 months ago
2004
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
SEAL
2010
Springer
14 years 8 months ago
2010
Springer
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...