36 search results - page 1 / 8 » Global Likelihood Optimization Via the Cross-Entropy Method,... |
69
Voted
WSC
2004
14 years 11 months ago
2004
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
100
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MICCAI
2005
Springer
15 years 10 months ago
2005
Springer
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
79
Voted
CEC
2007
IEEE
15 years 3 months ago
2007
IEEE
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
64
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CSDA
2007
14 years 9 months ago
2007
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
NIPS
1998
14 years 11 months ago
1998
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...