Abstract: We consider conditional density approximation by fuzzy systems. Fuzzy systems are typically used to approximate deterministic functions in which the stochastic uncertainty is ignored. We ...

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Abstract: Bayesian Network is a significant graphical model that is used to do probabilistic inference and reasoning under uncertainty circumstances. In many applications, existence of discrete and ...

In this problem, we utilize the k-nearest neighbor method to estimate class conditional density functions and perform classification tasks. Estimate class conditional density functions using k-nearest ...