| Chris Williams and Oksana Sorokina |
| Tue 09 Feb 2016, 11:00 - 12:00 |
| IF Room 4.31/4.33 |
If you have a question about this talk, please contact: Gareth Beedham (v1gbeed2)
Oksana Sorokina
RKappa: Statistical Sampling Suite for Kappa Models
We present RKappa, a framework for the development and analysis of rule-based models within a mature, statistically empowered R environment. The infrastructure allows model editing, modification, parameter sampling, simulation, statistical analysis and visualisation without leaving the R environment. We demonstrate its effectiveness through its application to Global Sensitivity Analysis, exploring it in “parallel” and “concurrent” implementations.
The pipeline was designed for high performance computing platforms and aims to facilitate analysis of the behaviour of large-scale systems with limited knowledge of exact mechanisms and respectively sparse availability of parameter values. . The package is available on github: https://github.com/lptolik/R4Kappa.
Chris Williams
Lessons Learned from the PASCAL VOC Challenges
The PASCAL Visual Object Classification Challenges ran from 2005 to 2012. I will discuss aspects of the challenge and lessons learned, including augmentation of the dataset each year, approaches to counteract reduction in the diversity of methods submitted over time, and assessing the statistical significance of performance differences