aMachine Learning Theory and Methods -- A Review of Parameter Learning Methods in Bayesian Network -- The Hard-Cut EM Algorithm for Mixture of Sparse Gaussian Processes -- Maximum Principle in the Unbounded Domain of Heisenberg Type -- An Epidemic Propagation Model with Saturated Infection Rate on a Small World Network -- Granular Twin Support vector Machines based on Mixture Kernel -- Detectin…