When multi-locus genotype data are available, BIGDAWG estimates user-specified haplotypes and performs the same binning and statistical calculations for each haplotype.
They propose ProfileRank, an information diffusion mode based on random walks that estimates users influence.
Note that this concept based on coarse synchronization also enables to estimate user channels based on common pilot-based channel estimation techniques.
These results are then used to estimate user's motion.
Through the use of pervasive sensors, these systems estimate user location, activities, and available communication channels.
Instead, we estimate user group sizes from the voting rates and the estimated r values.
The posterior distribution of the estimated user position can sometimes be multimodal.
The system uses accelerometer data as input and estimate user velocity.
Keywords in a textual description of the extra information are significant factors in estimating user rating of items.
The coniferous treed class, which represented 71% of Vancouver Island, had an estimated user's accuracy of 86%.
