Summary: -- appeared in NIPS 98 --
Neural Networks for Density Estimation
Malik Magdon­Ismail \Lambda
magdon@cco.caltech.edu
Caltech Learning Systems Group
Department of Electrical Engineering
California Institute of Technology
136­93 Pasadena, CA, 91125
Amir Atiya
amir@deep.caltech.edu
Caltech Learning Systems Group
Department of Electrical Engineering
California Institute of Technology
136­93 Pasadena, CA, 91125
Abstract
We introduce two new techniques for density estimation. Our ap­
proach poses the problem as a supervised learning task which can
be performed using Neural Networks. We introduce a stochas­
tic method for learning the cumulative distribution and an analo­
gous deterministic technique. We demonstrate convergence of our

Source: Abu-Mostafa, Yaser S. - Department of Mechanical Engineering & Computer Science Department, California Institute of Technology
Magdon-Ismail, Malik - Department of Computer Science, Rensselaer Polytechnic Institute

Collections: Computer Technologies and Information Sciences