Abstract

We present the maximum entropy (MaxEnt) model with continuous features. We show that for the continuous features the weights should be continuous functions instead of single values. We propose a spline interpolation based solution to the optimization problem that contains continuous weights and illustrate that the optimization problem can be converted into a standard log-linear one without continuous weights at a higher-dimensional space.