Authors: Adam Bourne
In a stochastic mapping model, a method is described for interpolating un-sampled mapping probabilities given a succesive 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.
Comments: 3 pages, English
[v1] 2019-06-30 09:09:58
Unique-IP document downloads: 5 times
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