3491 search results - page 143 / 699 » Cascaded Markov Models |
197
click to vote
GECCO
2008
Springer
15 years 7 months ago
2008
Springer
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
170
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
180
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
180
click to vote
CDC
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...