Maximum Entropy Density Estimation with Incomplete Presence-Only Data
Bert Huang, Ansaf Salleb-Aouissi · 2009
We demonstrate a generalization of Maxi-mum Entropy Density Estimation that el-egantly handles incomplete presence-only data. We provide a formulation that is able to learn from known values of incomplete data without having to learn imputed val-ues, which may be inaccurate. This saves the effort needed to perform accurate impu-tation while observing the principle of max-imum entropy throughout the learning pro-cess. We provide analysis and examples of our algorithm under different settings of missing data. 1