MULTI-HEAD SELF-ATTENTION-BASED DEEP CLUSTERING FOR SINGLE-CHANNEL SPEECH SEPARATION


Least Squares Approach to Locally Weighted Naive Bayes Method

This Ashtray study proposes a new approach which calculates the weights of Locally Weighted Naive Bayes (LWNB) developed on Naive Bayes (NB) which is known with its simple structure.In this approach, a new equation is described by assigning a powered weight to each probabilistic factor in classic NB, and it is transformed to a linear form by using

read more