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Neural Networks for Density Estimation

Magdon-Ismail, Malik and Atiya, Amir (1999) Neural Networks for Density Estimation. In: Advances in Neural Information Processing Systems 11 (NIPS 1998). Advances in Neural Information Processing Systems. No.11. MIT Press , Cambridge, MA, pp. 522-528. ISBN 0-262-11245-0. https://resolver.caltech.edu/CaltechAUTHORS:20160229-162139120

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Abstract

We introduce two new techniques for density estimation. Our approach poses the problem as a supervised learning task which can be performed using Neural Networks. We introduce a stochastic method for learning the cumulative distribution and an analogous deterministic technique. We demonstrate convergence of our methods both theoretically and experimentally, and provide comparisons with the Parzen estimate. Our theoretical results demonstrate better convergence properties than the Parzen estimate.


Item Type:Book Section
Related URLs:
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http://papers.nips.cc/paper/1624-neural-networks-for-density-estimationOrganizationPaper
Additional Information:© 1999 Massachusetts Institute of Technology. We would like to acknowledge Yaser Abu-Mostafa and the Caltech Learning Systems Group for their useful input.
Series Name:Advances in Neural Information Processing Systems
Issue or Number:11
Record Number:CaltechAUTHORS:20160229-162139120
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160229-162139120
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64876
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:01 Mar 2016 00:28
Last Modified:03 Oct 2019 09:41

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