Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets

Abstract

Venn Predictors (VPs) are machine learning algorithms that can provide well calibrated multiprobability outputs for their predictions. The only drawback of Venn Predictors is their computational inefficiency, especially in the case of large datasets. In this work, we propose an Inductive Venn Predictor (IVP) which overcomes the computational inefficiency… (More)
DOI: 10.1007/978-3-642-33412-2_19

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