Agile Prediction of Ongoing Temporal Sequences Based on Dominative Random Subsequences
This paper identifies a new paradigm of prediction, of ongoing temporal sequences, which achieves an acceptable accuracy just by the historical subsequences as short as possible and as close to the predicted time point as possible. To address agile prediction, a new concept, (DRS for short), is firs...
Main Authors: | Ning Yang, Changjie Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
Atlantis Press
2013-05-01
|
Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25868398.pdf |
Similar Items
-
Aspects of random matrix theory: concentration and subsequence problems
by: Xu, Hua
Published: (2009) -
A Novel Efficient Graph Model for the Multiple Longest Common Subsequences (MLCS) Problem
by: Zhan Peng, et al.
Published: (2017-08-01) -
Whole-brain functional correlates of memory formation in mesial temporal lobe epilepsy
by: Anna Doll, et al.
Published: (2021-01-01) -
The effect of categorical superiority in subsequent search misses
by: Olga Rubtsova, et al.
Published: (2021-09-01) -
Dimensions of Emancipation: Rethinking Subjectivity, Domination and Temporality in Feminist Theory
by: Susanne Lettow
Published: (2016-05-01)