Characterising Uncertainty in Feature Extraction for Document Ranking

To investigate and propose mathematical tools for considering and quantifying the degree of uncertainty in probability estimates of document features that are used for ranking; to define ranking decision algorithms when the input arguments may be fraught with uncertainty.