DocumentCode
1604209
Title
Simple and Effective Probability Density Estimation and Classification
Author
Jirina, Marcel
Author_Institution
Inst. of Comput. Sci., Czech Acad. of Sci., Prague
fYear
2006
Firstpage
4479
Lastpage
4480
Abstract
A mapping is introduced which maps the true distribution to a function of distances. The approximation of this function in the form of a suitable power of the distance is presented. The exponent in this approximation is used for probability density estimation in high-dimensional spaces and for classification
Keywords
Bayes methods; estimation theory; pattern classification; probability; Bayes method; function power approximation; multivariate data classification; probability density estimation; probability distribution mapping function; Bayesian methods; Chromium; Computer science; Decision trees; Electronic mail; Nearest neighbor searches; Neural networks; Probability distribution; Tin; Classification; Multivariate data; Power approximation; Probability distribution mapping function;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE-ICASE, 2006. International Joint Conference
Conference_Location
Busan
Print_ISBN
89-950038-4-7
Electronic_ISBN
89-950038-5-5
Type
conf
DOI
10.1109/SICE.2006.315031
Filename
4108466
Link To Document