MOSES Proposal: use SVM for program tree selection
Use SVM for program tree selection
Try replacing the Bayes-net modeling in MOSES with SVM. SVM with tree kernels have now matured somewhat, see e.g.
So the idea would roughly be to:
use SVM to learn a model distinguishing fit from unfit program trees. use this model as a filter on generated program trees, to determine which ones are worth fitness-evaluating.
Currently I Jekin Trivedi am working on this project .
Below is the expected timeline for the proposed project.
August 15 - September 13
- Preparing for GRE exam .
- Learning Basic of AI .
September 14 - December 15
- Researching regarding the project .
December 16 - March 15
- Coding starts.