243 search results - page 14 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
HPCA
2006
IEEE
14 years 7 months ago
2006
IEEE
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
UAI
2001
13 years 9 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
CMSB
2009
Springer
14 years 2 months ago
2009
Springer
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
NIPS
1994
13 years 8 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...