Learning to Quantify
Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani
Abstract
Provides an introduction to learning to quantify, i.e. the task of training estimators of class proportions in unlabeled data by supervised learning.
Topics & Concepts
EstimatorComputer scienceArtificial intelligenceTask (project management)Machine learningClass (philosophy)Semi-supervised learningSupervised learningStatisticsMathematicsEngineeringArtificial neural networkSystems engineeringStatistical Methods and InferenceAdvanced Statistical Methods and Models