开课单位--阿斯顿大学
1 1/1

1
Modified Belief Propagation: an Algorithm for Optimization Problems[改进信念传播:一种求解优化问题的算法]
  Jort van Mourik(阿斯顿大学) Belief propagation is a well known algorithm to solve various optimization problems, such as error correcting codes graph colouring and satisfiability...
热度:96

3
Advanced message passing techniques for distributed storage[先进的分布式存储器消息传递技术]
  David Saad(阿斯顿大学) Distributed storage plays an important role in networks where individual nodes are limited in their storage capabilities and where files are infrequen...
热度:41

4
The role of mechanistic models in Bayesian inference[贝叶斯定理中机械模型的作用]
  Dan Cornford(阿斯顿大学) I'll outline the role of mechanistic models, or simulators, in defining priors in a Bayesian inference setting. In particular I will focus on two main...
热度:42

5
An efficient Monte-Carlo algorithm for the ML-Type II parameter estimation of nonlinear diffusions[对于ML II型参数估计的非线性扩散的一种有效的蒙特卡洛算法]
  Yuan Shen(阿斯顿大学) The mathematical framework of non-linear diffusions has been playing an important role in modelling natural phenomena. Recently, much efforts have bee...
热度:64
1 1/1