Bumptrees for Efficient Function, Constraint, and Classification Learning

TitleBumptrees for Efficient Function, Constraint, and Classification Learning
Publication TypeTechnical Report
Year of Publication1991
AuthorsOmohundro, S.
Other Numbers639
Abstract

A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. An empirical comparison with radial basis functions is presented on a robot arm mapping learning task. Applications to density estimation, classification, and constraint representation and learning are also outlined.

URLhttp://www.icsi.berkeley.edu/ftp/global/pub/techreports/1991/tr-91-009.pdf
Bibliographic Notes

ICSI Technical Report TR-91-009

Abbreviated Authors

S. M. Omohundro

ICSI Publication Type

Technical Report