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Oct 15, 2009 · We investigate the problem of using continuous features in the maximum entropy (MaxEnt) model. We explain why the MaxEnt model with the ...
... using continuous features in the maximum entropy (MaxEnt) model. We explain why the MaxEnt model with the moment constraint (MaxEnt-MC) works well with binary ...
We describe how to enhance constraints on the continuous features and show that the weights associated with the continuous features should be continuous ...
Abstract. We present the maximum entropy (MaxEnt) model with continuous features. We show that for the continuous features the weights should be continuous.
A spline-based solution to the MaxEnt model with non-linear continuous weighting functions is proposed and it is illustrated that the optimization problem ...
Jun 23, 2014 · Maximum entropy classifier is mostly used for Natural Language Processing, in which the datas are discrete. I learned the formalism from the ...
TL;DR: A spline-based solution to the MaxEnt model with non-linear continuous weighting functions is proposed and it is illustrated that the optimization ...
Feb 22, 2020 · Dong Yu, Li Deng, Alex Acero: Using continuous features in the maximum entropy model. Pattern Recognit. Lett. 30(14): 1295-1300 (2009).
Nov 24, 2017 · If you have thousands of features and experience overfitting then apply regularisation as one solution. If you do not want to wait for the ...
We investigate the problem of using continuous features in the maximum entropy (MaxEnt) model. We explain why the MaxEnt model with the moment constraint ...