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Semi-Supervised Least-Squares Conditional Density Estimation

Journal: International Journal of Scientific Engineering and Technology (IJSET) (Vol.2, No. 9)

Publication Date:

Authors : ;

Page : 900-904

Keywords : Keywords---- Semi-supervised learning; Conditional density; Least squares; Direct density ratio estimation.;

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Abstract

Conditional density estimation is an useful alternative to regression to learn an input-output relationship under multi-modality, asymmetry, and heteroscedasticity. The supervised learning method called least-squares conditional density estimation (LSCDE) is the state-of-the-art method that directly estimates the conditional density using a linear model. In this paper, we extend the supervised LSCDE method to a semisupervised scenario so that unlabelled data can be utilized, and numerically illustrates its usefulness.

Last modified: 2013-09-03 20:32:19