Due to our study setting which included patients with relatively regular follow up our results could not be easily generalized to general populations.
Note that the proposed decentralized method can be easily generalized to the more general problem considered in[6], Section IV-C.
To keep the technicalities minimal we confine ourselves to the case where the noise term is given by a stochastic integral w.r.t. a cylindrical Wiener process.But all results can be easily generalized to SPDE with more general noises such as, for instance, stochastic integral w.r.t. a continuous local martingale.
Further, the developed theory can be easily generalized to other cases with more general assumptions about the measurement errors.
Moreover, the new WG algorithm allows the use of finite element partitions consisting of general polytopal meshes and can be easily generalized to high orders.
This is well known for the general Markov model [ 23] and can be easily generalized to any model satisfying (i) and (ii).
The theory and analysis methods can be easily generalized to other types of reaction systems.
The method is initially designed for two-label segmentation, however it can be easily generalized to multi-label segmentation.
The approach can be easily generalized to design multivariable coupled and decentralized PID loops and has been successfully validated for a large number of experimental cases.
Moreover, the neural circuit we design can be easily generalized to implement inference for other problems, such as the multi-stimuli cause inference and the same-different judgment.
As a conclusion, our method can be easily generalized to new data points and is efficient in dealing with large datasets.
