Abstract: We consider application of Zadeh's impossibility principle and extended logic FLe to approximate scientific explanation from the standpoint of the philosophy of scie...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...