Non-parametric Density Estimation Based on Label Semantics

We propose a non-parametric density estimator based on label semantics, a framework for computing with words which allows to describe a numerical instance or set of instances in linguistic terms and to condition on a linguistic description. This will be the basis of the proposed density estimator, which is MSE consistent under certain regularity conditions. Experimental results illustrate the potential of the proposal.

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