Continued fractions: Yet another tool to overcome the curse of dimensionality
Conference
·
OSTI ID:304114
The authors provide a rapid prediction method, in which a larger number of antecedents than currently considered is accounted for. To this end, they encode the successive (possibly rescaled) values of a time series, as the partial quotients of a continued fraction, resulting in a number from the unit interval. The accuracy of a ruled-based system utilizing this coding is investigated to some extent. Qualitative criteria for the applicability of the algorithm are formulated.
- Research Organization:
- Los Alamos National Lab., NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 304114
- Report Number(s):
- LA-UR--98-1245; CONF-980942--; ON: DE99000638
- Country of Publication:
- United States
- Language:
- English
Similar Records
Challenging the Curse of Dimensionality in Multidimensional Numerical Integration by Using a Low-Rank Tensor-Train Format
Symmetric continued fractions
Journal Article
·
Wed Jan 18 19:00:00 EST 2023
· Mathematics
·
OSTI ID:2311692
Symmetric continued fractions
Journal Article
·
Wed Nov 10 23:00:00 EST 2010
· AIP Conference Proceedings
·
OSTI ID:21506927