243 search results - page 26 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
In this paper, we deal with the sequential decision making problem of agents operating in computational economies, where there is uncertainty regarding the trustworthiness of serv...
WSC
2004
13 years 9 months ago
2004
In many practical applications of simulation it is desirable to optimize the levels of integer or binary variables that are inputs for the simulation model. In these cases, the ob...
CDC
2009
IEEE
14 years 8 days ago
2009
IEEE
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
JAIR
2011
13 years 2 months ago
2011
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
NECO
2008
13 years 7 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...