Scaling RVMs for Text Classification
In the previous chapter we investigated learning techniques to improve support vector machines’ (SVMs) performance in text classification.We turn our attention in this chapter to relevance vector machines (RVMs) and their application to text classification. RVMs’ probabilistic Bayesian nature allows both predictive distributions on testing instances and model-based selection that yields a parsimonious solution. However, scaling up the algorithm is not viable in most digital information processing applications.
KeywordsActive Learning Linear Kernel Relevance Vector Machine AdaBoost Algorithm Training Document
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