Island algorithm
The island algorithm is an algorithm for performing inference on hidden Markov models, or their generalization, dynamic Bayesian networks.It calculates the marginal distribution for each unobserved node, conditional on any observed nodes.
- Comment
- enThe island algorithm is an algorithm for performing inference on hidden Markov models, or their generalization, dynamic Bayesian networks.It calculates the marginal distribution for each unobserved node, conditional on any observed nodes.
- Has abstract
- enThe island algorithm is an algorithm for performing inference on hidden Markov models, or their generalization, dynamic Bayesian networks.It calculates the marginal distribution for each unobserved node, conditional on any observed nodes. The island algorithm is a modification of belief propagation. It trades smaller memory usage for longer running time: while belief propagation takes O(n) time and O(n) memory, the island algorithm takes O(n log n) time and O(log n) memory. On a computer with an unlimited number of processors, this can be reduced to O(n) total time, while still taking only O(log n) memory.
- Hypernym
- Algorithm
- Is primary topic of
- Island algorithm
- Label
- enIsland algorithm
- Link from a Wikipage to another Wikipage
- Algorithm
- Belief propagation
- Big O notation
- Category:Bioinformatics algorithms
- Category:Hidden Markov models
- Dynamic Bayesian networks
- Hidden Markov models
- Junction tree
- Marginal distribution
- Memory usage
- Recursion
- SameAs
- 4oRhU
- Island algorithm
- m.0hhrkmk
- Q6083457
- Subject
- Category:Bioinformatics algorithms
- Category:Hidden Markov models
- WasDerivedFrom
- Island algorithm?oldid=1020696415&ns=0
- WikiPageLength
- 2558
- Wikipage page ID
- 33763102
- Wikipage revision ID
- 1020696415
- WikiPageUsesTemplate
- Template:Reflist