Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection

Probabilistic classification vector machine (PCVM) is a sparse learning approach aiming to address the stability problems of relevance vector machine for classification problems. Because PCVM is based on the expectation maximization algorithm, it suffers from sensitivity to initialization, convergence to local minima, and the limitation of Bayesian… CONTINUE READING