-
Notifications
You must be signed in to change notification settings - Fork 1
Computational Biology 10 bees
Matej Hajnal edited this page Sep 9, 2020
·
7 revisions
This wiki may be outdated, updated info on progress here
- Explain the model
- tell the story - how to extract individual behaviour from the behaviour of collective
- Model selection
- obtain rational functions
- show how to apply different methods for the default model (new bees, synch, agnostic)
- Scalability of the refinement forces us to deal with parameter space explosion.
- Hence 2 candidate “sub”-models: linear and sigmoidal
- Data encoding as the data are sparse
- Compare the results of optimisation and MH among default and submodels
- Application for 10 bees
check the second project
- write backbone/draft @matej
- various issues written in the draft shared with the second project
Supplementary material
- demonstrate that with the linear or sigmoidal model one can see various distribution which can not be drawn from simple distributions
Here at the wiki, you can find what has been managed and proposed to be done for the respective project (publication/thesis/...).