## Predicting the Future of Discrete Sequences From Fractal Representations of the Past (2001)

### Cached

### Download Links

- [www.ncrg.aston.ac.uk]
- [www.cs.bham.ac.uk]
- DBLP

### Other Repositories/Bibliography

by
Peter Tino
,
Georg Dorffner

Citations: | 29 - 10 self |

### BibTeX

@MISC{Tino01predictingthe,

author = {Peter Tino and Georg Dorffner},

title = {Predicting the Future of Discrete Sequences From Fractal Representations of the Past},

year = {2001}

}

### OpenURL

### Abstract

We propose a novel approach for building nite memory predictive models similar in spirit to variable memory length Markov models (VLMMs). The models are constructed by rst transforming the n-block structure of the training sequence into a geometric structure of points in a unit hypercube, such that the longer is the common sux shared by any two n-blocks, the closer lie their point representations.