Authors: Adam Bourne
In a stochastic mapping model, a method is described for interpolating un-sampled mapping probabilities given a successive set of observed mappings. The sampled probabilities are calculated from the observed mappings. The previously described method of interpolating values in code space is used to interpolate the un-observed mapping probabilities. The outcomes for subsequent mappings can then be predicted by finding the processes with maximal interpolated probability. Finally, a software package is created and demonstrated to implement the method and tested on a variety of situations for filling in missing element values or categorising data arrays.
Comments: 5 Pages. Demonstration of method has been added to paper
Unique-IP document downloads: 16 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.